Introduction to SRM. Riccardo Zappi 1
|
|
- Barnaby Boone
- 5 years ago
- Views:
Transcription
1 Introduction to SRM Grid Storage Resource Manager Riccardo Zappi 1 1 INFN-CNAF, National Center of INFN (National Institute for Nuclear Physic) for Research and Development into the field of Information Technologies SRM School, 2009 Bologna, Italy Data Management 1
2 Outline 1 Storage Element Storage services 2 GridFTP Service GridFTP Service 3 Genesis of SRM Genesis 4 File naming File naming in Grid Mapping services 5 SRM Service SRM service: main concepts Storage Area and Storage Component The Storage Resource Manager Interface Specification v2.2 6 Data access pattern Read a file Write a file 7 Conclusion Some SRM Service implementation
3 Outline 1 Storage Element Storage services 2 GridFTP Service GridFTP Service 3 Genesis of SRM Genesis 4 File naming File naming in Grid Mapping services 5 SRM Service SRM service: main concepts Storage Area and Storage Component The Storage Resource Manager Interface Specification v2.2 6 Data access pattern Read a file Write a file 7 Conclusion Some SRM Service implementation
4 Storage services Storage Resource All data is ultimately stored on a data storage resource (memory stick to a multi-petabyte tape silo) Different storage resources offer different levels of Quality of Service (QoS) The storage hardware will typically be controlled by software Definition The storage resource is the combination of the storage hardware and the controlling software (eg. file system) Data Management 4
5 Storage services Storage Element Storage Element (SE) A Storage Element (SE) is a Grid service that allows Grid users to store and manage files together with the space assigned to them. To make the storage available in the data architecture, the storage resource is wrapped by storage services Three categories of interfaces: 1 Data Access 2 Data Transfer 3 Storage Management Data Management 5
6 Storage services Storage Element Storage Element (SE) A Storage Element (SE) is a Grid service that allows Grid users to store and manage files together with the space assigned to them. To make the storage available in the data architecture, the storage resource is wrapped by storage services Three categories of interfaces: 1 Data Access 2 Data Transfer 3 Storage Management Data Management 5
7 Storage services Storage Element Storage Element (SE) A Storage Element (SE) is a Grid service that allows Grid users to store and manage files together with the space assigned to them. To make the storage available in the data architecture, the storage resource is wrapped by storage services Three categories of interfaces: 1 Data Access In theory: ByteIO, DAI In practise: rfio, dcap, file 2 Data Transfer 3 Storage Management Data Management 5
8 Storage services Storage Element Storage Element (SE) A Storage Element (SE) is a Grid service that allows Grid users to store and manage files together with the space assigned to them. To make the storage available in the data architecture, the storage resource is wrapped by storage services Three categories of interfaces: 1 Data Access In theory: ByteIO, DAI In practise: rfio, dcap, file 2 Data Transfer 3 Storage Management Data Management 5
9 Storage services Storage Element Storage Element (SE) A Storage Element (SE) is a Grid service that allows Grid users to store and manage files together with the space assigned to them. To make the storage available in the data architecture, the storage resource is wrapped by storage services Three categories of interfaces: 1 Data Access : rfio, dcap, file 2 Data Transfer 3 Storage Management Data Management 5
10 Storage services Storage Element Storage Element (SE) A Storage Element (SE) is a Grid service that allows Grid users to store and manage files together with the space assigned to them. To make the storage available in the data architecture, the storage resource is wrapped by storage services Three categories of interfaces: 1 Data Access : rfio, dcap, file 2 Data Transfer In theory: OGSA-DMI In practise: GridFTP 3 Storage Management Data Management 5
11 Storage services Storage Element Storage Element (SE) A Storage Element (SE) is a Grid service that allows Grid users to store and manage files together with the space assigned to them. To make the storage available in the data architecture, the storage resource is wrapped by storage services Three categories of interfaces: 1 Data Access : rfio, dcap, file 2 Data Transfer In theory: OGSA-DMI In practise: GridFTP 3 Storage Management Data Management 5
12 Storage services Storage Element Storage Element (SE) A Storage Element (SE) is a Grid service that allows Grid users to store and manage files together with the space assigned to them. To make the storage available in the data architecture, the storage resource is wrapped by storage services Three categories of interfaces: 1 Data Access : rfio, dcap, file 2 Data Transfer : GridFTP 3 Storage Management Data Management 5
13 Storage services Storage Element Storage Element (SE) A Storage Element (SE) is a Grid service that allows Grid users to store and manage files together with the space assigned to them. To make the storage available in the data architecture, the storage resource is wrapped by storage services Three categories of interfaces: 1 Data Access : rfio, dcap, file 2 Data Transfer : GridFTP 3 Storage Management In theory: SRM In practise: SRM Data Management 5
14 Storage services Storage Element Storage Element (SE) A Storage Element (SE) is a Grid service that allows Grid users to store and manage files together with the space assigned to them. To make the storage available in the data architecture, the storage resource is wrapped by storage services Three categories of interfaces: 1 Data Access : rfio, dcap, file 2 Data Transfer : GridFTP 3 Storage Management : SRM In theory: SRM In practise: SRM Data Management 5
15 Storage services Storage Element Storage Element (SE) A Storage Element (SE) is a Grid service that allows Grid users to store and manage files together with the space assigned to them. To make the storage available in the data architecture, the storage resource is wrapped by storage services Three categories of interfaces: 1 Data Access : rfio, dcap, file 2 Data Transfer : GridFTP 3 Storage Management : SRM Data Management 5
16 Outline 1 Storage Element Storage services 2 GridFTP Service GridFTP Service 3 Genesis of SRM Genesis 4 File naming File naming in Grid Mapping services 5 SRM Service SRM service: main concepts Storage Area and Storage Component The Storage Resource Manager Interface Specification v2.2 6 Data access pattern Read a file Write a file 7 Conclusion Some SRM Service implementation
17 GridFTP Service What is GridFTP? GridFTP - File Transfer Protocol in Grid Computing Networks. high-performance secure reliable data transfer protocol optimized for high-bandwidth wide-area Data Management 7
18 GridFTP Service GridFTP: The Protocol GridFTP protocol extends the FTP standard with: Strong authentication, encryption via GSI on both control (command) and data channels Third-party transfers: C can initiate a transfer from A to B. Multiple data channels for parallel transfers Striped data transfers Partial file transfers Tunable network and I/O parameters Data Management 8
19 GridFTP Service GridFTP: The Protocol definition and GridFTP enabled servers A protocol GFD.47, GridFTP v2 Protocol Description GFD.20, GridFTP: Protocol Extensions to FTP for the Grid Multiple independent implementation can interoperate The Globus Toolkit supplies a reference implementation of : Server, Client tools (globus-url-copy) and Development Libraries Another client developed and supported at NCSA: UberFTP Data Management 9
20 GridFTP Service GridFTP channels Two channels protocol like FTP: Control Channel Communication link (TCP) over which commands and responses flow Low bandwidth; encrypted and integrity protected by default Data Channel Communication link(s) over which the actual data of interest flows High Bandwidth; authenticated by default; encryption and integrity protection optional Data Management 10
21 Outline 1 Storage Element Storage services 2 GridFTP Service GridFTP Service 3 Genesis of SRM Genesis 4 File naming File naming in Grid Mapping services 5 SRM Service SRM service: main concepts Storage Area and Storage Component The Storage Resource Manager Interface Specification v2.2 6 Data access pattern Read a file Write a file 7 Conclusion Some SRM Service implementation
22 Genesis Genesis from hierarchical storage Originally SRM designed to handle Tape/Disk-cache scenario: Staging of files A request for a file arrives If it is in cache it is returned right away Otherwise it is first fetched from tapes, copied to disk and then returned. The system takes care of consistency between cache and tapes. Needed to offset latency due to robotic arm switching tapes. Data Management 12
23 Genesis Genesis: Disk cache The presence of cache area introduces the concept of file type: Volatile files get written in cache and the system then removes them automatically after a lifetime expires Permanent the files that get into cache are not removed automatically by the system Durable files do have a lifetime that may expire but the system does not remove them and instead sends an notification to the user Data Management 13
24 Genesis Genesis: File Name abstraction The cache area also introduces a partition of file namespace: Tape must store files: there have to be names that uniquely identify the file in tape! The cache area must serve files. It may return a path to fetch the file on disk that is different from the name that allows to uniquely identify the file in tape. SRM reflects this distinction in the concept of SURLs and TURLs. SURL : Identify a grid file in SRM storage. TURL : Identify a URL to fetch the grid file. Data Management 14
25 Genesis Asynchronous requests File staging introduces the concept of asynchronous calls to get or put a file: SRM request issued to get a file Server replies immediately without waiting for staging to complete. Server returns a Request Token which the client uses to periodically poll the request s status. Data Management 15
26 Genesis Space Management Big issue of not running out of space during a large file transfer. System used by the HEP community to store/manage huge amounts of data from LHC. SRM introduced space management and reservation interface. Data Management 16
27 Outline 1 Storage Element Storage services 2 GridFTP Service GridFTP Service 3 Genesis of SRM Genesis 4 File naming File naming in Grid Mapping services 5 SRM Service SRM service: main concepts Storage Area and Storage Component The Storage Resource Manager Interface Specification v2.2 6 Data access pattern Read a file Write a file 7 Conclusion Some SRM Service implementation
28 File naming in Grid Data Resource and File Files in the Grid can be referred by different names: Logical File Name (LFN) : An alias created by a user to refer to some item of data Grid Unique IDentifier (GUID) : A non-human-readable unique identifier for an item of data Site URL (SURL) : The location of an actual piece of data on a storage system Transport URL (TURL) : Temporary locator of a replica + access protocol understood by a SE Data Management 18
29 File naming in Grid Data Resource and File Files in the Grid can be referred by different names: Logical File Name (LFN) : An alias created by a user to refer to some item of data Grid Unique IDentifier (GUID) : A non-human-readable unique identifier for an item of data Site URL (SURL) : The location of an actual piece of data on a storage system Transport URL (TURL) : Temporary locator of a replica + access protocol understood by a SE Data Management 18
30 File naming in Grid Data Resource and File Files in the Grid can be referred by different names: Logical File Name (LFN) : An alias created by a user to refer to some item of data lfn:cms/ /run2/track1 Grid Unique IDentifier (GUID) : A non-human-readable unique identifier for an item of data Site URL (SURL) : The location of an actual piece of data on a storage system Transport URL (TURL) : Temporary locator of a replica + access protocol understood by a SE Data Management 18
31 File naming in Grid Data Resource and File Files in the Grid can be referred by different names: Logical File Name (LFN) : An alias created by a user to refer to some item of data lfn:cms/ /run2/track1 Grid Unique IDentifier (GUID) : A non-human-readable unique identifier for an item of data Site URL (SURL) : The location of an actual piece of data on a storage system Transport URL (TURL) : Temporary locator of a replica + access protocol understood by a SE Data Management 18
32 File naming in Grid Data Resource and File Files in the Grid can be referred by different names: Logical File Name (LFN) : An alias created by a user to refer to some item of data lfn:cms/ /run2/track1 Grid Unique IDentifier (GUID) : A non-human-readable unique identifier for an item of data guid:f81d4fae-7dec-11d0-a765-00a0c91e6bf6 Site URL (SURL) : The location of an actual piece of data on a storage system Transport URL (TURL) : Temporary locator of a replica + access protocol understood by a SE Data Management 18
33 File naming in Grid Data Resource and File Files in the Grid can be referred by different names: Logical File Name (LFN) : An alias created by a user to refer to some item of data lfn:cms/ /run2/track1 Grid Unique IDentifier (GUID) : A non-human-readable unique identifier for an item of data guid:f81d4fae-7dec-11d0-a765-00a0c91e6bf6 Site URL (SURL) : The location of an actual piece of data on a storage system Transport URL (TURL) : Temporary locator of a replica + access protocol understood by a SE Data Management 18
34 File naming in Grid Data Resource and File Files in the Grid can be referred by different names: Logical File Name (LFN) : An alias created by a user to refer to some item of data lfn:cms/ /run2/track1 Grid Unique IDentifier (GUID) : A non-human-readable unique identifier for an item of data guid:f81d4fae-7dec-11d0-a765-00a0c91e6bf6 Site URL (SURL) : The location of an actual piece of data on a storage system srm://storm.cnaf.infn.it:8444/infngrid/test.txt Transport URL (TURL) : Temporary locator of a replica + access protocol understood by a SE Data Management 18
35 File naming in Grid Data Resource and File Files in the Grid can be referred by different names: Logical File Name (LFN) : An alias created by a user to refer to some item of data lfn:cms/ /run2/track1 Grid Unique IDentifier (GUID) : A non-human-readable unique identifier for an item of data guid:f81d4fae-7dec-11d0-a765-00a0c91e6bf6 Site URL (SURL) : The location of an actual piece of data on a storage system srm://storm.cnaf.infn.it:8444/infngrid/test.txt Transport URL (TURL) : Temporary locator of a replica + access protocol understood by a SE Data Management 18
36 File naming in Grid Data Resource and File Files in the Grid can be referred by different names: Logical File Name (LFN) : An alias created by a user to refer to some item of data lfn:cms/ /run2/track1 Grid Unique IDentifier (GUID) : A non-human-readable unique identifier for an item of data guid:f81d4fae-7dec-11d0-a765-00a0c91e6bf6 Site URL (SURL) : The location of an actual piece of data on a storage system srm://storm.cnaf.infn.it:8444/infngrid/test.txt Transport URL (TURL) : Temporary locator of a replica + access protocol understood by a SE gsiftp://storm.cnaf.infn.it:2811/storage/infngrid/test.txt Data Management 18
37 File naming in Grid Files in Grid: LFN, GUID, SURL and TURL While the GUIDs and LFNs identify a file irrespective of its location, the SURLs and TURLs contain information about where a physical replica is located, and how it can be accessed. Data Management 19
38 Mapping services File Name Mapping There are two mapping: LFN > SURLs SURL > TURLs Data Management 20
39 Mapping services File Name Mapping There are two mapping: LFN > SURLs SURL > TURLs Data Management 20
40 Mapping services SURL and TURL Structure: SFN e PFN Data Management 21
41 Outline 1 Storage Element Storage services 2 GridFTP Service GridFTP Service 3 Genesis of SRM Genesis 4 File naming File naming in Grid Mapping services 5 SRM Service SRM service: main concepts Storage Area and Storage Component The Storage Resource Manager Interface Specification v2.2 6 Data access pattern Read a file Write a file 7 Conclusion Some SRM Service implementation
42 SRM service: main concepts Storage Resource Manager (SRM) Services Definition SRM services are middleware components whose function is to provide dynamic space allocation and file management in spaces for shared storage components on the Grid. SRM services implement SRM interface. Files are no longer permanent entities on the storage, but dynamic ones that can appear or disappear according to the user s specification. SRMs do not perform file transfers, but can invoke middleware components that perform this job (such as GridFTP) Data Management 23
43 SRM service: main concepts Storage Resource Manager (SRM) Services Definition SRM services are middleware components whose function is to provide dynamic space allocation and file management in spaces for shared storage components on the Grid. SRM services implement SRM interface. Files are no longer permanent entities on the storage, but dynamic ones that can appear or disappear according to the user s specification. SRMs do not perform file transfers, but can invoke middleware components that perform this job (such as GridFTP) Data Management 23
44 SRM service: main concepts Storage Resource Manager (SRM) Services Definition SRM services are middleware components whose function is to provide dynamic space allocation and file management in spaces for shared storage components on the Grid. SRM services implement SRM interface. Files are no longer permanent entities on the storage, but dynamic ones that can appear or disappear according to the user s specification. SRMs do not perform file transfers, but can invoke middleware components that perform this job (such as GridFTP) Data Management 23
45 SRM service: main concepts SRM services Data Management 24
46 SRM service: main concepts SRM role in a site In a Grid Storage Element, the SRM service provides the functionality to manage file and spaces. Data Management 25
47 SRM service: main concepts StoRM role in a site StoRM leverages on advantages of cluster file systems and standard POSIX file systems in a Grid environment. Data Management 26
48 Storage Area and Storage Component Storage Model A definition of the model for a Grid Storage Element represent the foundation to clarify the behavior of the SRM interface implementations. F. Donno et al., "Storage Element Model for SRM 2.2 and GLUE schema description, v3.5" [ link ] Data Management 27
49 Storage Area and Storage Component Space Definitions Definition Space: An SRM SPACE is a logical view of an online physical storage allocation that is reserved for read/write operations on files. A file lives within a space. Definition Static Space Reservation: It represent a Storage Area within a SE. Typically controlled by production managers of big VOs. Definition Dynamic Space Reservation: It represent a space reserved by a user through SRM functions. Data Management 28
50 Storage Area and Storage Component Storage Area and Storage Component (1/2) A Storage Element can have multiple Storage Areas Definition A Storage Area defines a portion of the total available space that can span different kinds of storage devices within a Storage Element and in case of WLCG it implements a Storage Class instance. Definition A Storage Component identifies a specific storage with certain quality properties. Data Management 29
51 Storage Area and Storage Component Storage Area and Storage Component (2/2) Data Management 30
52 Storage Area and Storage Component Recalls about Storage Quality Retention Policy, probability of data loss once stored. custodial (High Quality): Custodial quality provides low probability of loss. output (Middle Quality): Output quality is an intermediate level and refers to the data which can be replaced by lengthy or effort-full processes. replica (Low Quality): it has the highest probability of loss, but is appropriate for data that can be replaced because other copies can be accessed in a timely fashion Access Latency, On-line: Storage where files are moved to before their use Near-line: Requires latency before files can be accessed Data Management 31
53 Storage Area and Storage Component Recalls about Storage Quality in WLCG Definition storage class is a classification of quality of storage system defined in terms of the Retention Policy and Access Latency Asking for a certain storage class users can specify the desired storage system characteristics to store data. In WLCG has been decided mapping the quality of storage together with the combinations of storage devices. Custodial-Nearline, In WLCG T1D0 Custodial-Online, In WLCG T1D1 Replica-Online,In WLCG T0D1 Data Management 32
54 The Storage Resource Manager Interface Specification v2.2 SRM v2.2 functionalities The SRM functionalities can be grouped in the following categories: Data management provides capabilities to manage the data stored in a SRM, preparing envinronment for access operation (staging, etc.) and for receiving new data. Space management space can be reserved by user to have the guarantee of availability when the transfer operation takes place. Directory management, this is a set of UNIX-like directory operation used to manage the SRM namespace for creating, moving and deleting directories and files. Query functions, this set of function is used to discover information on a specific SRM endpoint. Data Management 33
55 The Storage Resource Manager Interface Specification v2.2 Synchronous and Asynchronous functionality SRM service provides provides two classes of methods: Asynchronous methods (non blocking call). Return a token corresponding to the request, the client can retrieve at any time the status of the request by addressing it through such a token. This is the case for data management functionalities. Synchronous methods (blocking call). The control is returned to the client only when the request is completed. This is the case of directory management and space management functions. Data Management 34
56 The Storage Resource Manager Interface Specification v2.2 Synchronous and Asynchronous functionality SRM service provides provides two classes of methods: Asynchronous methods (non blocking call). Return a token corresponding to the request, the client can retrieve at any time the status of the request by addressing it through such a token. This is the case for data management functionalities. Synchronous methods (blocking call). The control is returned to the client only when the request is completed. This is the case of directory management and space management functions. Data Management 34
57 The Storage Resource Manager Interface Specification v2.2 Synchronous and Asynchronous functionality SRM service provides provides two classes of methods: Asynchronous methods (non blocking call). Return a token corresponding to the request, the client can retrieve at any time the status of the request by addressing it through such a token. This is the case for data management functionalities. Synchronous methods (blocking call). The control is returned to the client only when the request is completed. This is the case of directory management and space management functions. Data Management 34
58 The Storage Resource Manager Interface Specification v2.2 srmping srmping() : used to verify the responsiveness of the service, to retrieve SRM version and other internal information. Data Management 35
59 The Storage Resource Manager Interface Specification v2.2 srmpreparetoput srmpreparetoput() : used to write files into the storage. Upon the client s request, SRM prepares a TURL so that client can write data into the TURL. Lifetime (pinning expiration time) is assigned on the TURL. target space token (Non mandatory) asynchronous operation Request token returned by SRM service Status may be checked through srmstatusofputrequest with the returned request token Data Management 36
60 The Storage Resource Manager Interface Specification v2.2 srmpreparetoget srmpreparetoget() : used to bring files online upon the client s request. It assigns TURL so that client can access the file. target space token (Non mandatory) asynchronous operation Request token returned by SRM service Status may be checked through srmstatusofgetrequest with the returned request token Data Management 37
61 The Storage Resource Manager Interface Specification v2.2 srmstatusofgetrequest and srmstatusofputrequest srmstatusofgetrequest() : used to check the status of the previously requested srmpreparetoget. Request token from srmpreparetoget must be provided. srmstatusofputrequest() : used to check the status of the previously requested srmpreparetoput. Request token from srmpreparetoput must be provided. Data Management 38
62 The Storage Resource Manager Interface Specification v2.2 srmputdone and srmreleasefiles srmputdone() : used to notify the SRM that the client completed a file transfer to the TransferURL in the allocated space. This call should normally follow srmpreparetoput. srmreleasefiles() : used to release pins on the previously requested copies (or state ) of the SURL. This function normally follows srmpreparetoget or srmbringonline functions. Data Management 39
63 The Storage Resource Manager Interface Specification v2.2 srmreservespace and srmgetspacemetadata srmreservespace() : used to reserve a space in advance for the upcoming requests to get some guarantee on the file management. Asynchronous space reservation may be necessary for some SRMs to serve many concurrent requests. srmgetspacemetadata() : used to get information of a space. Space token must be provided, and space tokens are returned upon a completion of a space reservation through srmreservespace or srmstatusofreservespacerequest. Data Management 40
64 Outline 1 Storage Element Storage services 2 GridFTP Service GridFTP Service 3 Genesis of SRM Genesis 4 File naming File naming in Grid Mapping services 5 SRM Service SRM service: main concepts Storage Area and Storage Component The Storage Resource Manager Interface Specification v2.2 6 Data access pattern Read a file Write a file 7 Conclusion Some SRM Service implementation
65 Read a file Download or Remote access (in read mode) Data Management 42
66 Write a file Upload or Remote access (in write mode) Data Management 43
67 Outline 1 Storage Element Storage services 2 GridFTP Service GridFTP Service 3 Genesis of SRM Genesis 4 File naming File naming in Grid Mapping services 5 SRM Service SRM service: main concepts Storage Area and Storage Component The Storage Resource Manager Interface Specification v2.2 6 Data access pattern Read a file Write a file 7 Conclusion Some SRM Service implementation
68 Some SRM Service implementation CASTOR-SRM [CERN and RAL] Data Management 45
69 Some SRM Service implementation Disk Pool Manager (DPM), [CERN] Data Management 46
70 Some SRM Service implementation dcache-srm, [Fermilab and DESY] Data Management 47
71 Some SRM Service implementation Storage Resource Manager (StoRM), [INFN and ICTP-EGRID] Data Management 48
72 Some SRM Service implementation Questions? Data Management 49
Understanding StoRM: from introduction to internals
Understanding StoRM: from introduction to internals 13 November 2007 Outline Storage Resource Manager The StoRM service StoRM components and internals Deployment configuration Authorization and ACLs Conclusions.
More informationIntroduction Data Management Jan Just Keijser Nikhef Grid Tutorial, November 2008
Introduction Data Management Jan Just Keijser Nikhef Grid Tutorial, 13-14 November 2008 Outline Introduction SRM Storage Elements in glite LCG File Catalog (LFC) Information System Grid Tutorial, 13-14
More informationglite Grid Services Overview
The EPIKH Project (Exchange Programme to advance e-infrastructure Know-How) glite Grid Services Overview Antonio Calanducci INFN Catania Joint GISELA/EPIKH School for Grid Site Administrators Valparaiso,
More informationGrid Data Management
Grid Data Management Data Management Distributed community of users need to access and analyze large amounts of data Fusion community s International ITER project Requirement arises in both simulation
More informationExperiences in testing a Grid service in a production environment
EWDC 2009 12th European Workshop on Dependable Computing Toulouse, France, 14 15 May, 2009 Experiences in testing a Grid service in a production environment Flavia Donno CERN, European Organization for
More informationStorage Resource Management: Concepts, Functionality, and Interface Specification
Storage Resource Management: Concepts, Functionality, and Interface Specification Main author: Arie Shoshani, LBNL Co-authors: Peter Kunszt, Heinz Stockinger, Kurt Stockinger, Erwin Laure (EDG-WP2) Jean-Philippe
More informationStoRM configuration. namespace.xml
StoRM configuration. namespace.xml 13 November 2007 Outline About this talk Mapping concepts Namespace concepts Namespace algorithms Namespace in practise Mapping Concepts Mapping concepts Mapping The
More informationData Management 1. Grid data management. Different sources of data. Sensors Analytic equipment Measurement tools and devices
Data Management 1 Grid data management Different sources of data Sensors Analytic equipment Measurement tools and devices Need to discover patterns in data to create information Need mechanisms to deal
More informationA scalable storage element and its usage in HEP
AstroGrid D Meeting at MPE 14 15. November 2006 Garching dcache A scalable storage element and its usage in HEP Martin Radicke Patrick Fuhrmann Introduction to dcache 2 Project overview joint venture between
More informationExperience of Data Grid simulation packages using.
Experience of Data Grid simulation packages using. Nechaevskiy A.V. (SINP MSU), Korenkov V.V. (LIT JINR) Dubna, 2008 Contant Operation of LCG DataGrid Errors of FTS services of the Grid. Primary goals
More informationand the GridKa mass storage system Jos van Wezel / GridKa
and the GridKa mass storage system / GridKa [Tape TSM] staging server 2 Introduction Grid storage and storage middleware dcache h and TSS TSS internals Conclusion and further work 3 FZK/GridKa The GridKa
More informationScientific data management
Scientific data management Storage and data management components Application database Certificate Certificate Authorised users directory Certificate Certificate Researcher Certificate Policies Information
More informationStorage Resource Manager Interface Specification V2.2 Implementations Experience Report
GFD-E.XXXX Grid Storage Resource Management https://forge.gridforum.org/projects/gsm-wg Editors: A. Sim A. Shoshani F. Donno J. Jensen 5/22/2009 Storage Resource Manager Interface Specification V2.2 Implementations
More informationStorage Resource Manager Interface Specification V2.2 Implementations Experience Report
GFD-E.154 Grid Storage Resource Management https://forge.gridforum.org/projects/gsm-wg Editors: A. Sim A. Shoshani F. Donno J. Jensen 8/18/2009 Storage Resource Manager Interface Specification V2.2 Implementations
More informationSRM. Dmitry Litvintsev. 7th international dcache workshop, May 27-29,2013. dcache Team. Dmitry Litvintsev. Wednesday, May 29, 13
SRM 7th international dcache workshop, May 27-29,2013 Plan SRM, a reminder SRM parameters SRM troubleshooting 2 Reminder SRM middleware component implementing a standardized interface to a storage system
More informationData Storage. Paul Millar dcache
Data Storage Paul Millar dcache Overview Introducing storage How storage is used Challenges and future directions 2 (Magnetic) Hard Disks 3 Tape systems 4 Disk enclosures 5 RAID systems 6 Types of RAID
More informationStorage Resource Manager Version 2.2: design, implementation, and testing experience
Storage Resource Manager Version 2.2: design, implementation, and testing experience Flavia Donno (1) Co-authors: Lana Abadie (1),Paolo Badino (1), Jean-Philippe Baud (1), Ezio Corso (2), Shaun De Witt
More informationPhilippe Charpentier PH Department CERN, Geneva
Philippe Charpentier PH Department CERN, Geneva Outline Disclaimer: These lectures are not meant at teaching you how to compute on the Grid! I hope it will give you a flavor on what Grid Computing is about
More informationdcache Introduction Course
GRIDKA SCHOOL 2013 KARLSRUHER INSTITUT FÜR TECHNOLOGIE KARLSRUHE August 29, 2013 dcache Introduction Course Overview Chapters I, II and Ⅴ christoph.anton.mitterer@lmu.de I. Introduction To dcache Slide
More informationOutline. ASP 2012 Grid School
Distributed Storage Rob Quick Indiana University Slides courtesy of Derek Weitzel University of Nebraska Lincoln Outline Storage Patterns in Grid Applications Storage
More informationIndependent Software Vendors (ISV) Remote Computing Usage Primer
GFD-I.141 ISV Remote Computing Usage Primer Authors: Steven Newhouse, Microsoft Andrew Grimshaw, University of Virginia 7 October, 2008 Independent Software Vendors (ISV) Remote Computing Usage Primer
More informationThe CMS experiment workflows on StoRM based storage at Tier-1 and Tier-2 centers
Journal of Physics: Conference Series The CMS experiment workflows on StoRM based storage at Tier-1 and Tier-2 centers To cite this article: D Bonacorsi et al 2010 J. Phys.: Conf. Ser. 219 072027 View
More informationGrid Infrastructure For Collaborative High Performance Scientific Computing
Computing For Nation Development, February 08 09, 2008 Bharati Vidyapeeth s Institute of Computer Applications and Management, New Delhi Grid Infrastructure For Collaborative High Performance Scientific
More informationData Management. Enabling Grids for E-sciencE. Vladimir Slavnic Scientific Computing Laboratory Institute of Physics Belgrade, Serbia
Data Management Vladimir Slavnic slavnic@scl.rs Scientific Computing Laboratory Institute of Physics Belgrade, Serbia Academic and Educational Grid Initiative of Serbia Feb. 19, 2009 A E G I S www.eu-egee.org
More informationI Tier-3 di CMS-Italia: stato e prospettive. Hassen Riahi Claudio Grandi Workshop CCR GRID 2011
I Tier-3 di CMS-Italia: stato e prospettive Claudio Grandi Workshop CCR GRID 2011 Outline INFN Perugia Tier-3 R&D Computing centre: activities, storage and batch system CMS services: bottlenecks and workarounds
More informationGrid Architectural Models
Grid Architectural Models Computational Grids - A computational Grid aggregates the processing power from a distributed collection of systems - This type of Grid is primarily composed of low powered computers
More informationXtreemFS a case for object-based storage in Grid data management. Jan Stender, Zuse Institute Berlin
XtreemFS a case for object-based storage in Grid data management Jan Stender, Zuse Institute Berlin In this talk... Traditional Grid Data Management Object-based file systems XtreemFS Grid use cases for
More informationHEP replica management
Primary actor Goal in context Scope Level Stakeholders and interests Precondition Minimal guarantees Success guarantees Trigger Technology and data variations Priority Releases Response time Frequency
More informationGrid Data Management
Grid Data Management Week #4 Hardi Teder hardi@eenet.ee University of Tartu March 6th 2013 Overview Grid Data Management Where the Data comes from? Grid Data Management tools 2/33 Grid foundations 3/33
More informationThe LCG 3D Project. Maria Girone, CERN. The 23rd Open Grid Forum - OGF23 4th June 2008, Barcelona. CERN IT Department CH-1211 Genève 23 Switzerland
The LCG 3D Project Maria Girone, CERN The rd Open Grid Forum - OGF 4th June 2008, Barcelona Outline Introduction The Distributed Database (3D) Project Streams Replication Technology and Performance Availability
More informationDistributing storage of LHC data - in the nordic countries
Distributing storage of LHC data - in the nordic countries Gerd Behrmann INTEGRATE ASG Lund, May 11th, 2016 Agenda WLCG: A world wide computing grid for the LHC NDGF: The Nordic Tier 1 dcache: Distributed
More information30 Nov Dec Advanced School in High Performance and GRID Computing Concepts and Applications, ICTP, Trieste, Italy
Advanced School in High Performance and GRID Computing Concepts and Applications, ICTP, Trieste, Italy Why the Grid? Science is becoming increasingly digital and needs to deal with increasing amounts of
More informationStorage Resource Sharing with CASTOR.
Storage Resource Sharing with CASTOR Olof Barring, Benjamin Couturier, Jean-Damien Durand, Emil Knezo, Sebastien Ponce (CERN) Vitali Motyakov (IHEP) ben.couturier@cern.ch 16/4/2004 Storage Resource Sharing
More informationThe INFN Tier1. 1. INFN-CNAF, Italy
IV WORKSHOP ITALIANO SULLA FISICA DI ATLAS E CMS BOLOGNA, 23-25/11/2006 The INFN Tier1 L. dell Agnello 1), D. Bonacorsi 1), A. Chierici 1), M. Donatelli 1), A. Italiano 1), G. Lo Re 1), B. Martelli 1),
More informationLessons Learned in the NorduGrid Federation
Lessons Learned in the NorduGrid Federation David Cameron University of Oslo With input from Gerd Behrmann, Oxana Smirnova and Mattias Wadenstein Creating Federated Data Stores For The LHC 14.9.12, Lyon,
More informationArchitecture Proposal
Nordic Testbed for Wide Area Computing and Data Handling NORDUGRID-TECH-1 19/02/2002 Architecture Proposal M.Ellert, A.Konstantinov, B.Kónya, O.Smirnova, A.Wäänänen Introduction The document describes
More informationLCG-2 and glite Architecture and components
LCG-2 and glite Architecture and components Author E.Slabospitskaya www.eu-egee.org Outline Enabling Grids for E-sciencE What are LCG-2 and glite? glite Architecture Release 1.0 review What is glite?.
More informationData Access and Data Management
Data Access and Data Management in grids Jos van Wezel Overview Background [KIT, GridKa] Practice [LHC, glite] Data storage systems [dcache a.o.] Data and meta data Intro KIT = FZK + Univ. of Karlsruhe
More informationCA464 Distributed Programming
1 / 25 CA464 Distributed Programming Lecturer: Martin Crane Office: L2.51 Phone: 8974 Email: martin.crane@computing.dcu.ie WWW: http://www.computing.dcu.ie/ mcrane Course Page: "/CA464NewUpdate Textbook
More informationDistributed Systems Principles and Paradigms. Chapter 01: Introduction. Contents. Distributed System: Definition.
Distributed Systems Principles and Paradigms Maarten van Steen VU Amsterdam, Dept. Computer Science Room R4.20, steen@cs.vu.nl Chapter 01: Version: February 21, 2011 1 / 26 Contents Chapter 01: 02: Architectures
More informationDistributed Systems Principles and Paradigms. Chapter 01: Introduction
Distributed Systems Principles and Paradigms Maarten van Steen VU Amsterdam, Dept. Computer Science Room R4.20, steen@cs.vu.nl Chapter 01: Introduction Version: October 25, 2009 2 / 26 Contents Chapter
More informationAdding SRM Functionality to QCDGrid. Albert Antony
Adding SRM Functionality to QCDGrid Albert Antony MSc in High Performance Computing The University of Edinburgh Year of Presentation: 2007 Abstract This dissertation discusses an attempt to add Storage
More informationDistributed Systems Principles and Paradigms
Distributed Systems Principles and Paradigms Chapter 01 (version September 5, 2007) Maarten van Steen Vrije Universiteit Amsterdam, Faculty of Science Dept. Mathematics and Computer Science Room R4.20.
More informationGrid Middleware and Globus Toolkit Architecture
Grid Middleware and Globus Toolkit Architecture Lisa Childers Argonne National Laboratory University of Chicago 2 Overview Grid Middleware The problem: supporting Virtual Organizations equirements Capabilities
More informationDIRAC data management: consistency, integrity and coherence of data
Journal of Physics: Conference Series DIRAC data management: consistency, integrity and coherence of data To cite this article: M Bargiotti and A C Smith 2008 J. Phys.: Conf. Ser. 119 062013 Related content
More informationLawrence Berkeley National Laboratory Recent Work
Lawrence Berkeley National Laboratory Recent Work Title Storage resource managers: Essential components for the grid Permalink https://escholarship.org/uc/item/3qk459bb Journal Grid Resource Management:
More informationan Object-Based File System for Large-Scale Federated IT Infrastructures
an Object-Based File System for Large-Scale Federated IT Infrastructures Jan Stender, Zuse Institute Berlin HPC File Systems: From Cluster To Grid October 3-4, 2007 In this talk... Introduction: Object-based
More informationGrid Computing. MCSN - N. Tonellotto - Distributed Enabling Platforms
Grid Computing 1 Resource sharing Elements of Grid Computing - Computers, data, storage, sensors, networks, - Sharing always conditional: issues of trust, policy, negotiation, payment, Coordinated problem
More informationLCG data management at IN2P3 CC FTS SRM dcache HPSS
jeudi 26 avril 2007 LCG data management at IN2P3 CC FTS SRM dcache HPSS Jonathan Schaeffer / Lionel Schwarz dcachemaster@cc.in2p3.fr dcache Joint development by FNAL and DESY Cache disk manager with unique
More information( PROPOSAL ) THE AGATA GRID COMPUTING MODEL FOR DATA MANAGEMENT AND DATA PROCESSING. version 0.6. July 2010 Revised January 2011
( PROPOSAL ) THE AGATA GRID COMPUTING MODEL FOR DATA MANAGEMENT AND DATA PROCESSING version 0.6 July 2010 Revised January 2011 Mohammed Kaci 1 and Victor Méndez 1 For the AGATA collaboration 1 IFIC Grid
More informationAssignment 5. Georgia Koloniari
Assignment 5 Georgia Koloniari 2. "Peer-to-Peer Computing" 1. What is the definition of a p2p system given by the authors in sec 1? Compare it with at least one of the definitions surveyed in the last
More informationStatus of KISTI Tier2 Center for ALICE
APCTP 2009 LHC Physics Workshop at Korea Status of KISTI Tier2 Center for ALICE August 27, 2009 Soonwook Hwang KISTI e-science Division 1 Outline ALICE Computing Model KISTI ALICE Tier2 Center Future Plan
More informationDHANALAKSHMI COLLEGE OF ENGINEERING, CHENNAI
DHANALAKSHMI COLLEGE OF ENGINEERING, CHENNAI Department of Computer Science and Engineering CS6703 Grid and Cloud Computing Anna University 2 & 16 Mark Questions & Answers Year / Semester: IV / VII Regulation:
More informationA Federated Grid Environment with Replication Services
A Federated Grid Environment with Replication Services Vivek Khurana, Max Berger & Michael Sobolewski SORCER Research Group, Texas Tech University Grids can be classified as computational grids, access
More informationLong Term Data Preservation for CDF at INFN-CNAF
Long Term Data Preservation for CDF at INFN-CNAF S. Amerio 1, L. Chiarelli 2, L. dell Agnello 3, D. De Girolamo 3, D. Gregori 3, M. Pezzi 3, A. Prosperini 3, P. Ricci 3, F. Rosso 3, and S. Zani 3 1 University
More informationBootstrapping a (New?) LHC Data Transfer Ecosystem
Bootstrapping a (New?) LHC Data Transfer Ecosystem Brian Paul Bockelman, Andy Hanushevsky, Oliver Keeble, Mario Lassnig, Paul Millar, Derek Weitzel, Wei Yang Why am I here? The announcement in mid-2017
More informationGridNEWS: A distributed Grid platform for efficient storage, annotating, indexing and searching of large audiovisual news content
1st HellasGrid User Forum 10-11/1/2008 GridNEWS: A distributed Grid platform for efficient storage, annotating, indexing and searching of large audiovisual news content Ioannis Konstantinou School of ECE
More informationAndrea Sciabà CERN, Switzerland
Frascati Physics Series Vol. VVVVVV (xxxx), pp. 000-000 XX Conference Location, Date-start - Date-end, Year THE LHC COMPUTING GRID Andrea Sciabà CERN, Switzerland Abstract The LHC experiments will start
More informationCHIPP Phoenix Cluster Inauguration
TheComputing Environment for LHC Data Analysis The LHC Computing Grid CHIPP Phoenix Cluster Inauguration Manno, Switzerland 30 May 2008 Les Robertson IT Department - CERN CH-1211 Genève 23 les.robertson@cern.ch
More informationKnowledge Discovery Services and Tools on Grids
Knowledge Discovery Services and Tools on Grids DOMENICO TALIA DEIS University of Calabria ITALY talia@deis.unical.it Symposium ISMIS 2003, Maebashi City, Japan, Oct. 29, 2003 OUTLINE Introduction Grid
More informationA Distributed Media Service System Based on Globus Data-Management Technologies1
A Distributed Media Service System Based on Globus Data-Management Technologies1 Xiang Yu, Shoubao Yang, and Yu Hong Dept. of Computer Science, University of Science and Technology of China, Hefei 230026,
More informationThe Integration of Grid Technology with OGC Web Services (OWS) in NWGISS for NASA EOS Data
The Integration of Grid Technology with OGC Web Services (OWS) in NWGISS for NASA EOS Data Liping Di, Aijun Chen, Wenli Yang and Peisheng Zhao achen6@gmu.edu; achen@laits.gmu.edu Lab for Advanced Information
More informationGrid Computing. Lectured by: Dr. Pham Tran Vu Faculty of Computer and Engineering HCMC University of Technology
Grid Computing Lectured by: Dr. Pham Tran Vu Email: ptvu@cse.hcmut.edu.vn 1 Grid Architecture 2 Outline Layer Architecture Open Grid Service Architecture 3 Grid Characteristics Large-scale Need for dynamic
More informationThe glite middleware. Presented by John White EGEE-II JRA1 Dep. Manager On behalf of JRA1 Enabling Grids for E-sciencE
The glite middleware Presented by John White EGEE-II JRA1 Dep. Manager On behalf of JRA1 John.White@cern.ch www.eu-egee.org EGEE and glite are registered trademarks Outline glite distributions Software
More informationIntroduction to SciTokens
Introduction to SciTokens Brian Bockelman, On Behalf of the SciTokens Team https://scitokens.org This material is based upon work supported by the National Science Foundation under Grant No. 1738962. Any
More informationA Simple Mass Storage System for the SRB Data Grid
A Simple Mass Storage System for the SRB Data Grid Michael Wan, Arcot Rajasekar, Reagan Moore, Phil Andrews San Diego Supercomputer Center SDSC/UCSD/NPACI Outline Motivations for implementing a Mass Storage
More informationManaged Data Storage and Data Access Services for Data Grids
Managed Data Storage and Data Access Services for Data Grids 1 M. Ernst, P. Fuhrmann, T. Mkrtchyan DESY J. Bakken, I. Fisk, T. Perelmutov, D. Petravick Fermilab s defined by the GriPhyN Project lobal scientific
More informationTHE GLOBUS PROJECT. White Paper. GridFTP. Universal Data Transfer for the Grid
THE GLOBUS PROJECT White Paper GridFTP Universal Data Transfer for the Grid WHITE PAPER GridFTP Universal Data Transfer for the Grid September 5, 2000 Copyright 2000, The University of Chicago and The
More informationDistributed Data Management on the Grid. Mario Lassnig
Distributed Data Management on the Grid Mario Lassnig Who am I? Mario Lassnig Computer scientist main field of study was theoretical (algorithm design) working on/with distributed and embedded systems
More informationThe glite middleware. Ariel Garcia KIT
The glite middleware Ariel Garcia KIT Overview Background The glite subsystems overview Security Information system Job management Data management Some (my) answers to your questions and random rumblings
More informationOn enhancing GridFTP and GPFS performances
Journal of Physics: Conference Series On enhancing GridFTP and GPFS performances To cite this article: A Cavalli et al 2 J. Phys.: Conf. Ser. 29 224 View the article online for updates and enhancements.
More informationUsing Standards-based Interfaces to Share Data across Grid Infrastructures
1 Using Standards-based Interfaces to Share Data across Grid Infrastructures K. Sarnowska *, A. S. Grimshaw * and E. Laure ** * Department of Computer Science, University of Virginia, Charlottesville,
More informationProgramming the Grid with glite
Programming the Grid with glite E. Laure 1, C. Grandi 1, S. Fisher 2, A. Frohner 1, P. Kunszt 3, A. Krenek 4, O. Mulmo 5, F. Pacini 6, F. Prelz 7, J. White 1 M. Barroso 1, P. Buncic 1, R. Byrom 2, L. Cornwall
More informationOperating system Dr. Shroouq J.
2.2.2 DMA Structure In a simple terminal-input driver, when a line is to be read from the terminal, the first character typed is sent to the computer. When that character is received, the asynchronous-communication
More informationWindows 7 Overview. Windows 7. Objectives. The History of Windows. CS140M Fall Lake 1
Windows 7 Overview Windows 7 Overview By Al Lake History Design Principles System Components Environmental Subsystems File system Networking Programmer Interface Lake 2 Objectives To explore the principles
More informationGrid Computing Systems: A Survey and Taxonomy
Grid Computing Systems: A Survey and Taxonomy Material for this lecture from: A Survey and Taxonomy of Resource Management Systems for Grid Computing Systems, K. Krauter, R. Buyya, M. Maheswaran, CS Technical
More informationScalability and Performance Improvements in the Fermilab Mass Storage System
Journal of Physics: Conference Series Scalability and Performance Improvements in the Fermilab Mass Storage System To cite this article: Matt Crawford et al 2012 J. Phys.: Conf. Ser. 396 052024 View the
More informationBuilding blocks: Connectors: View concern stakeholder (1..*):
1 Building blocks: Connectors: View concern stakeholder (1..*): Extra-functional requirements (Y + motivation) /N : Security: Availability & reliability: Maintainability: Performance and scalability: Distribution
More informationHigh Throughput WAN Data Transfer with Hadoop-based Storage
High Throughput WAN Data Transfer with Hadoop-based Storage A Amin 2, B Bockelman 4, J Letts 1, T Levshina 3, T Martin 1, H Pi 1, I Sfiligoi 1, M Thomas 2, F Wuerthwein 1 1 University of California, San
More informationChapter 4:- Introduction to Grid and its Evolution. Prepared By:- NITIN PANDYA Assistant Professor SVBIT.
Chapter 4:- Introduction to Grid and its Evolution Prepared By:- Assistant Professor SVBIT. Overview Background: What is the Grid? Related technologies Grid applications Communities Grid Tools Case Studies
More informationEfficient HTTP based I/O on very large datasets for high performance computing with the Libdavix library
Efficient HTTP based I/O on very large datasets for high performance computing with the Libdavix library Authors Devresse Adrien (CERN) Fabrizio Furano (CERN) Typical HPC architecture Computing Cluster
More informationData Transfers Between LHC Grid Sites Dorian Kcira
Data Transfers Between LHC Grid Sites Dorian Kcira dkcira@caltech.edu Caltech High Energy Physics Group hep.caltech.edu/cms CERN Site: LHC and the Experiments Large Hadron Collider 27 km circumference
More informationCompact Muon Solenoid: Cyberinfrastructure Solutions. Ken Bloom UNL Cyberinfrastructure Workshop -- August 15, 2005
Compact Muon Solenoid: Cyberinfrastructure Solutions Ken Bloom UNL Cyberinfrastructure Workshop -- August 15, 2005 Computing Demands CMS must provide computing to handle huge data rates and sizes, and
More informationComputing activities in Napoli. Dr. Silvio Pardi (INFN-Napoli) Belle II Italian collaboration meeting 21 November 2017 Pisa - Italy
Computing activities in Napoli Dr. Silvio Pardi (INFN-Napoli) Belle II Italian collaboration meeting 21 November 2017 Pisa - Italy Activities in Napoli Grid Services Networking Http/Webdav and Dynamic
More informationThe PanDA System in the ATLAS Experiment
1a, Jose Caballero b, Kaushik De a, Tadashi Maeno b, Maxim Potekhin b, Torre Wenaus b on behalf of the ATLAS collaboration a University of Texas at Arlington, Science Hall, PO Box 19059, Arlington, TX
More informationStreamlining CASTOR to manage the LHC data torrent
Streamlining CASTOR to manage the LHC data torrent G. Lo Presti, X. Espinal Curull, E. Cano, B. Fiorini, A. Ieri, S. Murray, S. Ponce and E. Sindrilaru CERN, 1211 Geneva 23, Switzerland E-mail: giuseppe.lopresti@cern.ch
More informationDeployment and Testing of Storage Management software, for CMS experiment
www.eu-egee.org Deployment and Testing of Storage Management software, for CMS experiment G.Donvito INFN Bari EGEE is a project funded by the European Union under contract IST-2003-508833 Introduction
More informationAliEn Resource Brokers
AliEn Resource Brokers Pablo Saiz University of the West of England, Frenchay Campus Coldharbour Lane, Bristol BS16 1QY, U.K. Predrag Buncic Institut für Kernphysik, August-Euler-Strasse 6, 60486 Frankfurt
More informationdcache: sneaking up on NFS4.1
dcache: sneaking up on NFS4.1 Tigran Mkrtchyan Björn Böttcher Patrick Fuhrmann for the dcache Team support and funding by What is dcache.org Head of dcache.org Patrick Fuhrmann Core Team (Desy and Fermi)
More informationSPINOSO Vincenzo. Optimization of the job submission and data access in a LHC Tier2
EGI User Forum Vilnius, 11-14 April 2011 SPINOSO Vincenzo Optimization of the job submission and data access in a LHC Tier2 Overview User needs Administration issues INFN Bari farm design and deployment
More informationSecuring Grid Data Transfer Services with Active Network Portals
Securing Grid Data Transfer Services with Active Network Portals Onur Demir 1 2 Kanad Ghose 3 Madhusudhan Govindaraju 4 Department of Computer Science Binghamton University (SUNY) {onur 1, mike 2, ghose
More informationGrid Data Management in Action: Experience in Running and Supporting Data Management Services in the EU DataGrid Project
Grid Data Management in Action: Experience in Running and Supporting Data Management Services in the EU DataGrid Project Heinz Stockinger, Flavia Donno, Erwin Laure, Shahzad Muzaffar, Peter Kunszt CERN,
More informationIt also performs many parallelization operations like, data loading and query processing.
Introduction to Parallel Databases Companies need to handle huge amount of data with high data transfer rate. The client server and centralized system is not much efficient. The need to improve the efficiency
More informationThe Grid. Processing the Data from the World s Largest Scientific Machine II Brazilian LHC Computing Workshop
The Grid Processing the Data from the World s Largest Scientific Machine II Brazilian LHC Computing Workshop Patricia Méndez Lorenzo (IT-GS/EIS), CERN Abstract The world's largest scientific machine will
More informationARC integration for CMS
ARC integration for CMS ARC integration for CMS Erik Edelmann 2, Laurence Field 3, Jaime Frey 4, Michael Grønager 2, Kalle Happonen 1, Daniel Johansson 2, Josva Kleist 2, Jukka Klem 1, Jesper Koivumäki
More informationData transfer over the wide area network with a large round trip time
Journal of Physics: Conference Series Data transfer over the wide area network with a large round trip time To cite this article: H Matsunaga et al 1 J. Phys.: Conf. Ser. 219 656 Recent citations - A two
More informationTalend Component tgoogledrive
Talend Component tgoogledrive Purpose and procedure This component manages files on a Google Drive. The component provides these capabilities: 1. Providing only the client for other tgoogledrive components
More informationBy Ian Foster. Zhifeng Yun
By Ian Foster Zhifeng Yun Outline Introduction Globus Architecture Globus Software Details Dev.Globus Community Summary Future Readings Introduction Globus Toolkit v4 is the work of many Globus Alliance
More informationInfrastructure Underpinnings of the GFDL Workflow
Infrastructure Underpinnings of the GFDL Workflow A Trio Of Lightning Talks For ISENES2 Chandin Wilson, Engility Amy Langenhorst, NOAA Karen Paffendorf, Princeton University Erik Mason, Engility Jeffrey
More informationData Movement and Storage. 04/07/09 1
Data Movement and Storage 04/07/09 www.cac.cornell.edu 1 Data Location, Storage, Sharing and Movement Four of the seven main challenges of Data Intensive Computing, according to SC06. (Other three: viewing,
More information