LCG data management at IN2P3 CC FTS SRM dcache HPSS
|
|
- Amberly Morris
- 5 years ago
- Views:
Transcription
1 jeudi 26 avril 2007 LCG data management at IN2P3 CC FTS SRM dcache HPSS Jonathan Schaeffer / Lionel Schwarz dcachemaster@cc.in2p3.fr
2 dcache Joint development by FNAL and DESY Cache disk manager with unique namespace Not open source, support provided Interfaced with various MSS (Enstore, TSM, OSM...) Most of Tier 1 sites in production 9
3 dcache in details Features Name space and data storage separation Multiple copied of the same file Automatic file replication on heavy load Catalog handled by PNFS (NFS2 implementation) Meta data in PostgreSQL database Local access: dcap + API POSIX, gsidcap, Xrootd, nfs Remote access: GFTP, HTTP, SRM (web service) 10
4 Namespace vs data storage Credit: Patrick Fuhrmann 11
5 The Pnfs Manager Manages the files/directories identification A file/directory is identified by a unique id called pnfsid, looks like A27D68 Manages meta data Size Pnfs path usable by end user /pnfs/in2p3.fr/data/cms/... Storage class State (precious, cached...) 12
6 The Pool Manager Decides which pools are eligible when a requests arrives with the following input information: Origin of the request (client IP or subnet) Path of the file in the PNFS namespace Direction of the request (WRITE or READ) Protocol used Then find the best pool to use (the one with the lowest cost) 13
7 Setting up pools Pools are entities that keeps a physical copy of a file Many pools on different hosts can be grouped to serve a large volume Too few pools: the service is degraded if 1 pool/host is down Pool node Pool node Too many pools: difficult to manage 14
8 Separating resources Storage groups (~=storage class) is defined in the PNFS namespace (this is called a tag ): /pnfs/in2p3.fr/data/atlas/raw > raw:atlas Storage Groups used to: Separate resources for a better usage Separate data for a better performance Make the maintaining easier Multi queues for different protocols (GFTP, dcap, Xrootd) 16
9 Read vs Write pools Write pools receive files from other sites with a high (but very well known) throughput Disk and network tuned for high throughput High quality hardware required for precious files Read pools are used by local jobs Disk access tuned for random access by lots of jobs High quality is not required but large volumes are needed RW pools are also used for traffic in both directions 17
10 CMS dcache pools setup Credit: Artem Trunov 18
11 Atlas pools setup (not implemented yet) RAW_MC 6.5TB 18 MB/s RAW HPSS 43 MB/s Tier-0 RAW ESD RAW RAW_MC Xx 26 MB/s 15 MB/s Credit: Ghita Rahal ESD Yy 51 MB/s Other T1 T1 Tier-1s Tier-2s AOD ESD 12TB he Cac d ns r da e t s Buffer 3 jours(avec facteur d efficacité): A te 1.5 TB pour 10MB/s AOD 2.5TB Xx ou Yy= taille(raw/esd) x #fichiers (RAW/ESD) par job x #max de jobs en machine 19
12 dcache protocols gridftp / http Pool node srm Head node dcap gsidcap Xrootd nfs pnfs Pool node 20
13 More details on protocols dcap is the native dcache protocol for local access rfcp /scratch/myfile dcap://dcache.in2p3.fr:22125/pnfs/in2p3.fr... fd=dcap_open( dcap://dcache.in2p3.fr:22125/pnfs/in2p3.fr... ); SRM is the standard grid access to the system srmcp file://scratch/myfile srm://dcache.in2p3.fr:8443/pnfs/in2p3.fr... GridFTP is the grid transport protocol g u c file://scratch/myfile gsiftp://dcache.in2p3.fr:2811/pnfs/in2p3.fr... Direct GridFTP access is not supported at IN2P3 CC GridFTP can be selected by SRM negociation as transport protocol 21
14 Local access: dcap vs SRM SRM is not recommended for local access (e.g. copy to local disk in a job): SRM is less efficient than dcap because it does a lot of things that are useless for a job SRM queues are centralized in SRM server and usually fit normal bulk transfers activity (T0 T1, T1 T1...). Using SRM in jobs would harm this activity. Secure dcap (gsidcap) should be used in local grid jobs Needs to be integrated in high level software 22
15 Local access: what about Xrootd? Xrootd is an optimized protocol for random access Used at IN2P3 CC for BaBar (interfaced with HPSS) Already chosen by Alice Using Xrootd at IN2P3 CC for LCG data implies: Using Xrootd dcache HPSS integration done for Alice Needs HPSS as storage reference system Using Xrootd door provided by dcache Not really well tested and needs some more developments Performance needs to be tested 23
16 Xrootd SRM HPSS integration for Alice HPSS (5) (4) dcache pnfsnode T1.root (3) Client T1.root? (1) (2) Data server: Xrootd Data server: Xrootd 14 data servers 150 TB of disk cache (6) Redirector server: Xrootd (etc ) 2 servers Credit: Jean-Yves Nief 24
17 Connection with HSM (1/2) Asynchronous migration (flushing) The file stays precious until is it migrated But stays on disk until the system needs space Retries in case of migration failures Flushing policy (minimum # of files, minimum volume...) Central flushing (not tested yet) 25
18 Connection with HSM (2/2) Synchronous staging A file is retrieved from HPSS when needed (triggered by a READ or CACHE operation) If a file already exists in a pool which is down, it is staged on another pool (if there is one available) Asynchronous deletion Done by a garbage collector on a regular basis 26
19 Separating resources in HPSS Storage Class in HPSS COS (Class Of Service) is not defined in HPSS namespace Associated with resources (type of disk, type of tape) Associated with policies (filesize, migration, purge...) Families are defined in the HPSS namespace Allow to group files from a family on the same tapes Subsystems Independent HPSS systems running on the same instance 28
20 Storage Classes levels PNFS Namespace /pnfs/in2p3.fr/data/atlas/tape/... /pnfs/in2p3.fr/data/cms/data/... dcache storage group tape-sc4:atlas hpssdata:cms HPSS Namespace HPSS storage class HPSS resources and policies /hpss/atlas/tape-sc4/... Family=142 Purge policy /hpss/cms/hpssdata/... COS=42 Family=23 Migration policy COS=0 Tape/disk ressources 29
21 HPSS connection Pool l) rfcp (contro RFIO server Mover rfcp (d ata) Head node ) a t a d ( rfcp Mover ) rfcp (data Pool rfcp (c ontrol) RFIO server 30
22 SRM/dCache/HPSS setup 33
23 dcache hardware setup (LCG system) 3 core nodes (PNFS, SRM, dcache) Head node: AMD bi opteron 2GHz, 2GB RAM SRM, Pnfs nodes: AMD quad pro 4GHz, 8GB RAM 25 disk servers (pools+gftp door) Various hardware, latest are SUN X4500 (Thumpers) Typical hardware: quad pro with 16GB RAM 270 TB allocated 240 TB on X4500 (20TB per host, 16 hosts) 34
24 dcache software setup SL3.0.5 or Solaris10 SL4 not tested yet XFS on Linux, ZFS on Solaris dcache installed in November 2006 PostgreSQL for pnfs, companion, billing, SRM Backup: DB dump+archive in local system (TSM) 35
25 FTS setup and configuration One single node for all agents (VO + channels) Bi pro 2GHz, 2GB RAM DB backend on Oracle cluster 10 T1 IN2P3 channels 27 IN2P3< >T2 channels (18 for Atlas) 12 STAR xxx channels (9 for Atlas) 38
26 Monitoring and operation dcache: 2 people, FTS: +1 (part time) Web monitoring (pool usage, current SRM requests, current errors, srmwatch...), dcache portal GUI for daily operation Integrated with local monitoring and logging systems Database query web pages integrated with local FTS database information Operation scripts for on duty people 41
27 dcache portal 42
28 Monitoring errors 43
29 Daily operation with dcache GUI 44
30 FTS monitor 45
31 FTS: monitoring a channel 46
32 FTS: monitoring a job 47
33 Central Logging System 48
34 SRM/dCache service Plans to describe different levels of intervention on the SRM/dCache system for example: administrator : all commands allowed operator : operations commands allowed only vo manager : basic commands allowed for VO only on duty : minimum commands for week end fixes Need to provide better diagnosis to map with other systems (HPSS, batch, FTS...) Need to automate operation commands ( mover kill...) 61
35 What next? Improve monitoring and operation tools Improve HSM staging process (group HPSS requests) Test and implement file hopping, central flushing, resilient pools... Deployment of SRM v2.2 (dcache 1.8) Testbed in PPS expected mid may Production system upgrade not expected before september 62
A 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 informationBenoit DELAUNAY Benoit DELAUNAY 1
Benoit DELAUNAY 20091023 Benoit DELAUNAY 1 CC-IN2P3 provides computing and storage for the 4 LHC experiments and many others (astro particles...) A long history of service sharing between experiments Some
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 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 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 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 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 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 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 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 informationdcache Ceph Integration
dcache Ceph Integration Paul Millar for dcache Team ADC TIM at CERN 2016 06 16 https://indico.cern.ch/event/438205/ Many slides stolen fromdonated by Tigran Mkrtchyan dcache as Storage System Provides
More informationirods usage at CC-IN2P3 Jean-Yves Nief
irods usage at CC-IN2P3 Jean-Yves Nief Talk overview What is CC-IN2P3? Who is using irods? irods administration: Hardware setup. irods interaction with other services: Mass Storage System, backup system,
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 informationSAM at CCIN2P3 configuration issues
SAM at CCIN2P3 configuration issues Patrice Lebrun - IPNL/IN2P3 CCIN2P3 present actions Computing and data storage services for about 45 experiments Regional Center services for: EROS II BaBar ( Tier A)
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 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 informationPROOF-Condor integration for ATLAS
PROOF-Condor integration for ATLAS G. Ganis,, J. Iwaszkiewicz, F. Rademakers CERN / PH-SFT M. Livny, B. Mellado, Neng Xu,, Sau Lan Wu University Of Wisconsin Condor Week, Madison, 29 Apr 2 May 2008 Outline
More informationForschungszentrum Karlsruhe in der Helmholtz-Gemeinschaft. Presented by Manfred Alef Contributions of Jos van Wezel, Andreas Heiss
Site Report Presented by Manfred Alef Contributions of Jos van Wezel, Andreas Heiss Grid Computing Centre Karlsruhe (GridKa) Forschungszentrum Karlsruhe Institute for Scientific Computing Hermann-von-Helmholtz-Platz
More informationUnderstanding 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 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 informationirods usage at CC-IN2P3: a long history
Centre de Calcul de l Institut National de Physique Nucléaire et de Physique des Particules irods usage at CC-IN2P3: a long history Jean-Yves Nief Yonny Cardenas Pascal Calvat What is CC-IN2P3? IN2P3:
More informationScientific data processing at global scale The LHC Computing Grid. fabio hernandez
Scientific data processing at global scale The LHC Computing Grid Chengdu (China), July 5th 2011 Who I am 2 Computing science background Working in the field of computing for high-energy physics since
More informationCC-IN2P3 activity. irods in production: irods developpements in Lyon: SRB to irods migration. Hardware setup. Usage. Prospects.
Jean-Yves Nief CC-IN2P3 activity. irods in production: Hardware setup. Usage. Prospects. irods developpements in Lyon: Scripts. Micro-services. Drivers. Resource Monitoring System. icommand. SRB to irods
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 informationInfluence of Distributing a Tier-2 Data Storage on Physics Analysis
ACAT Conference 2013 Influence of Distributing a Tier-2 Data Storage on Physics Analysis Jiří Horký 1,2 (horky@fzu.cz) Miloš Lokajíček 1, Jakub Peisar 2 1 Institute of Physics ASCR, 2 CESNET 17th of May,
More informationStorage Evaluations at BNL
Storage Evaluations at BNL HEPiX at DESY Spring 2007 Robert Petkus RHIC/USATLAS Computing Facility Brookhaven National Laboratory State of Affairs Explosive disk storage growth trajectory over the next
More informationHEP Grid Activities in China
HEP Grid Activities in China Sun Gongxing Institute of High Energy Physics, Chinese Academy of Sciences CANS Nov. 1-2, 2005, Shen Zhen, China History of IHEP Computing Center Found in 1974 Computing Platform
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 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 informationOvercoming Obstacles to Petabyte Archives
Overcoming Obstacles to Petabyte Archives Mike Holland Grau Data Storage, Inc. 609 S. Taylor Ave., Unit E, Louisville CO 80027-3091 Phone: +1-303-664-0060 FAX: +1-303-664-1680 E-mail: Mike@GrauData.com
More informationConsiderations for a grid-based Physics Analysis Facility. Dietrich Liko
Considerations for a grid-based Physics Analysis Facility Dietrich Liko Introduction Aim of our grid activities is to enable physicists to do their work Latest GANGA developments PANDA Tier-3 Taskforce
More informationMetadaten Workshop 26./27. März 2007 Göttingen. Chimera. a new grid enabled name-space service. Martin Radicke. Tigran Mkrtchyan
Metadaten Workshop 26./27. März Chimera a new grid enabled name-space service What is Chimera? a new namespace provider provides a simulated filesystem with additional metadata fast, scalable and based
More informationImprove Web Application Performance with Zend Platform
Improve Web Application Performance with Zend Platform Shahar Evron Zend Sr. PHP Specialist Copyright 2007, Zend Technologies Inc. Agenda Benchmark Setup Comprehensive Performance Multilayered Caching
More informationThe ATLAS EventIndex: Full chain deployment and first operation
The ATLAS EventIndex: Full chain deployment and first operation Álvaro Fernández Casaní Instituto de Física Corpuscular () Universitat de València CSIC On behalf of the ATLAS Collaboration 1 Outline ATLAS
More informationThe Legnaro-Padova distributed Tier-2: challenges and results
The Legnaro-Padova distributed Tier-2: challenges and results Simone Badoer a, Massimo Biasotto a,fulviacosta b, Alberto Crescente b, Sergio Fantinel a, Roberto Ferrari b, Michele Gulmini a, Gaetano Maron
More informationD0 Grid: CCIN2P3 at Lyon
D0 Grid: CCIN2P3 at Lyon Patrice Lebrun D0RACE Wokshop Feb. 12, 2002 IN2P3 Computing Center French D0RACE Contact men: Laurent Duflot Patrice Lerbun National Computing Center of IN2P3 Resources shared
More informationThe Wuppertal Tier-2 Center and recent software developments on Job Monitoring for ATLAS
The Wuppertal Tier-2 Center and recent software developments on Job Monitoring for ATLAS DESY Computing Seminar Frank Volkmer, M. Sc. Bergische Universität Wuppertal Introduction Hardware Pleiades Cluster
More informationThe National Analysis DESY
The National Analysis Facility @ DESY Yves Kemp for the NAF team DESY IT Hamburg & DV Zeuthen 10.9.2008 GridKA School NAF: National Analysis Facility Why a talk about an Analysis Facility at a Grid School?
More informationData storage services at KEK/CRC -- status and plan
Data storage services at KEK/CRC -- status and plan KEK/CRC Hiroyuki Matsunaga Most of the slides are prepared by Koichi Murakami and Go Iwai KEKCC System Overview KEKCC (Central Computing System) The
More informationCluster Setup and Distributed File System
Cluster Setup and Distributed File System R&D Storage for the R&D Storage Group People Involved Gaetano Capasso - INFN-Naples Domenico Del Prete INFN-Naples Diacono Domenico INFN-Bari Donvito Giacinto
More informationIntroduction to SRM. Riccardo Zappi 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
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 informationGrid Computing Activities at KIT
Grid Computing Activities at KIT Meeting between NCP and KIT, 21.09.2015 Manuel Giffels Karlsruhe Institute of Technology Institute of Experimental Nuclear Physics & Steinbuch Center for Computing Courtesy
More informationStorage and I/O requirements of the LHC experiments
Storage and I/O requirements of the LHC experiments Sverre Jarp CERN openlab, IT Dept where the Web was born 22 June 2006 OpenFabrics Workshop, Paris 1 Briefly about CERN 22 June 2006 OpenFabrics Workshop,
More informationCASTORFS - A filesystem to access CASTOR
Journal of Physics: Conference Series CASTORFS - A filesystem to access CASTOR To cite this article: Alexander Mazurov and Niko Neufeld 2010 J. Phys.: Conf. Ser. 219 052023 View the article online for
More informationTier2 Centre in Prague
Tier2 Centre in Prague Jiří Chudoba FZU AV ČR - Institute of Physics of the t Academy of Sciences of the Czech Republic Outline Supported groups Hardware Middleware and software Current status 2 Particle
More informationThe European DataGRID Production Testbed
The European DataGRID Production Testbed Franck Bonnassieux CNRS/UREC ENS-Lyon France DataGrid Network Work Package Manager Franck.Bonnassieux@ens-lyon.fr Presentation outline General DataGrid project
More informationData oriented job submission scheme for the PHENIX user analysis in CCJ
Data oriented job submission scheme for the PHENIX user analysis in CCJ Tomoaki Nakamura, Hideto En yo, Takashi Ichihara, Yasushi Watanabe and Satoshi Yokkaichi RIKEN Nishina Center for Accelerator-Based
More informationImplementing a Hierarchical Storage Management system in a large-scale Lustre and HPSS environment
Implementing a Hierarchical Storage Management system in a large-scale Lustre and HPSS environment Brett Bode, Michelle Butler, Sean Stevens, Jim Glasgow National Center for Supercomputing Applications/University
More informationScale-out Storage Solution and Challenges Mahadev Gaonkar igate
Scale-out Solution and Challenges Mahadev Gaonkar igate 2013 Developer Conference. igate. All Rights Reserved. Table of Content Overview of Scale-out Scale-out NAS Solution Architecture IO Workload Distribution
More informationTier-2 structure in Poland. R. Gokieli Institute for Nuclear Studies, Warsaw M. Witek Institute of Nuclear Physics, Cracow
Tier-2 structure in Poland R. Gokieli Institute for Nuclear Studies, Warsaw M. Witek Institute of Nuclear Physics, Cracow Plan LHC experiments in Poland Tier-2 centers Current activities - SC3 Expectations
More informationWorkload Management. Stefano Lacaprara. CMS Physics Week, FNAL, 12/16 April Department of Physics INFN and University of Padova
Workload Management Stefano Lacaprara Department of Physics INFN and University of Padova CMS Physics Week, FNAL, 12/16 April 2005 Outline 1 Workload Management: the CMS way General Architecture Present
More informationHigh-density Grid storage system optimization at ASGC. Shu-Ting Liao ASGC Operation team ISGC 2011
High-density Grid storage system optimization at ASGC Shu-Ting Liao ASGC Operation team ISGC 211 Outline Introduction to ASGC Grid storage system Storage status and issues in 21 Storage optimization Summary
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 informationEMC Business Continuity for Microsoft Applications
EMC Business Continuity for Microsoft Applications Enabled by EMC Celerra, EMC MirrorView/A, EMC Celerra Replicator, VMware Site Recovery Manager, and VMware vsphere 4 Copyright 2009 EMC Corporation. All
More informationPostgreSQL in Mission-Critical Financial Systems May 20th 2010
PostgreSQL in Mission-Critical Financial Systems May 20th 2010 Flavio Henrique Araque Gurgel http://creativecommons.org/licenses/by-sa/3.0/deed.pt 4Linux in Caixa 2nd level support, 24/7 Configuration,
More informationCurrent Status of the Ceph Based Storage Systems at the RACF
Journal of Physics: Conference Series PAPER OPEN ACCESS Current Status of the Ceph Based Storage Systems at the RACF To cite this article: A. Zaytsev et al 2015 J. Phys.: Conf. Ser. 664 042027 View the
More informationUW-ATLAS Experiences with Condor
UW-ATLAS Experiences with Condor M.Chen, A. Leung, B.Mellado Sau Lan Wu and N.Xu Paradyn / Condor Week, Madison, 05/01/08 Outline Our first success story with Condor - ATLAS production in 2004~2005. CRONUS
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 informationIdeas for evolution of replication CERN
Ideas for evolution of replication technology @ CERN Openlab Minor Review December 14 th, 2010 Zbigniew Baranowski, IT-DB Outline Replication use cases at CERN Motivation for evolution of replication Oracle
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 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 informationSymantec Design of DP Solutions for UNIX using NBU 5.0. Download Full Version :
Symantec 250-421 Design of DP Solutions for UNIX using NBU 5.0 Download Full Version : http://killexams.com/pass4sure/exam-detail/250-421 B. Applications running on the Windows clients will be suspended
More informationWLCG Transfers Dashboard: a Unified Monitoring Tool for Heterogeneous Data Transfers.
WLCG Transfers Dashboard: a Unified Monitoring Tool for Heterogeneous Data Transfers. J Andreeva 1, A Beche 1, S Belov 2, I Kadochnikov 2, P Saiz 1 and D Tuckett 1 1 CERN (European Organization for Nuclear
More informationDQ2 - Data distribution with DQ2 in Atlas
DQ2 - Data distribution with DQ2 in Atlas DQ2 - A data handling tool Kai Leffhalm DESY March 19, 2008 Technisches Seminar Zeuthen Kai Leffhalm (DESY) DQ2 - Data distribution with DQ2 in Atlas March 19,
More informationParallel Storage Systems for Large-Scale Machines
Parallel Storage Systems for Large-Scale Machines Doctoral Showcase Christos FILIPPIDIS (cfjs@outlook.com) Department of Informatics and Telecommunications, National and Kapodistrian University of Athens
More informationSDS: A Scalable Data Services System in Data Grid
SDS: A Scalable Data s System in Data Grid Xiaoning Peng School of Information Science & Engineering, Central South University Changsha 410083, China Department of Computer Science and Technology, Huaihua
More informationStorage for HPC, HPDA and Machine Learning (ML)
for HPC, HPDA and Machine Learning (ML) Frank Kraemer, IBM Systems Architect mailto:kraemerf@de.ibm.com IBM Data Management for Autonomous Driving (AD) significantly increase development efficiency by
More informationUK Tier-2 site evolution for ATLAS. Alastair Dewhurst
UK Tier-2 site evolution for ATLAS Alastair Dewhurst Introduction My understanding is that GridPP funding is only part of the story when it comes to paying for a Tier 2 site. Each site is unique. Aim to
More informationPIC Tier-1 Report. 1st Board for the follow-up of GRID Spain activities Madrid 5/03/2008. G. Merino and M. Delfino, PIC
PIC Tier-1 Report 1st Board for the follow-up of GRID Spain activities Madrid 5/03/2008 G. Merino and M. Delfino, PIC New Experiment Requirements New experiment requirements for T1s on 18-Sep-07, C-RRB
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 informationdcache, activities Patrick Fuhrmann 14 April 2010 Wuppertal, DE 4. dcache Workshop dcache.org
dcache, activities Patrick Fuhrmann Content Do we still have enough money? Is dcache still en vogue? What are we working on and what will follow? WLCG Activities Do we have enough money? NO, but What/who
More informationAnalisi Tier2 e Tier3 Esperienze ai Tier-2 Giacinto Donvito INFN-BARI
Analisi Tier2 e Tier3 Esperienze ai Tier-2 Giacinto Donvito INFN-BARI outlook Alice Examples Atlas Examples CMS Examples Alice Examples ALICE Tier-2s at the moment do not support interactive analysis not
More informationMonitoring of large-scale federated data storage: XRootD and beyond.
Monitoring of large-scale federated data storage: XRootD and beyond. J Andreeva 1, A Beche 1, S Belov 2, D Diguez Arias 1, D Giordano 1, D Oleynik 2, A Petrosyan 2, P Saiz 1, M Tadel 3, D Tuckett 1 and
More informationIWR GridKa 6. July GridKa Site Report. Holger Marten
GridKa Site Report 51 st Session of the GridKa TAB, 6.07.2006 Holger Marten Forschungszentrum Karlsruhe GmbH Institut für Wissenschaftliches Rechnen, IWR Postfach 3640 D-76021 Karlsruhe Content 1. Input
More informationIBM IBM Open Systems Storage Solutions Version 4. Download Full Version :
IBM 000-742 IBM Open Systems Storage Solutions Version 4 Download Full Version : https://killexams.com/pass4sure/exam-detail/000-742 Answer: B QUESTION: 156 Given the configuration shown, which of the
More informationTSM Node Replication Deep Dive and Best Practices
TSM Node Replication Deep Dive and Best Practices Matt Anglin TSM Server Development Abstract This session will provide a detailed look at the node replication feature of TSM. It will provide an overview
More informationIntroduction. Architecture Overview
Performance and Sizing Guide Version 17 November 2017 Contents Introduction... 5 Architecture Overview... 5 Performance and Scalability Considerations... 6 Vertical Scaling... 7 JVM Heap Sizes... 7 Hardware
More informationRapid database cloning using SMU and ZFS Storage Appliance How Exalogic tooling can help
Presented at Rapid database cloning using SMU and ZFS Storage Appliance How Exalogic tooling can help Jacco H. Landlust Platform Architect Director Oracle Consulting NL, Core Technology December, 2014
More informationATLAS COMPUTING AT OU
ATLAS COMPUTING AT OU Outline HORST SEVERINI OU DOE REVIEW FEBRUARY 1, 2010 Introduction US ATLAS Grid Computing and Open Science Grid (OSG) US ATLAS Tier 2 Center OU Resources and Network Summary and
More informationAzure Webinar. Resilient Solutions March Sander van den Hoven Principal Technical Evangelist Microsoft
Azure Webinar Resilient Solutions March 2017 Sander van den Hoven Principal Technical Evangelist Microsoft DX @svandenhoven 1 What is resilience? Client Client API FrontEnd Client Client Client Loadbalancer
More informationThe ATLAS Tier-3 in Geneva and the Trigger Development Facility
Journal of Physics: Conference Series The ATLAS Tier-3 in Geneva and the Trigger Development Facility To cite this article: S Gadomski et al 2011 J. Phys.: Conf. Ser. 331 052026 View the article online
More informationExperience with Fabric Storage Area Network and HSM Software at the Tier1 INFN CNAF
Experience with Fabric Storage Area Network and HSM Software at the Tier1 INFN CNAF First Author 1 : on behalf of the INFN CNAF Tier1 Staff INFN CNAF Viale Berti Pichat 6/2, Bologna ITALY E-mail: pierpaolo.ricci@cnaf.infn.it
More informationdcache: challenges and opportunities when growing into new communities Paul Millar on behalf of the dcache team
dcache: challenges and opportunities when growing into new Paul Millar communities on behalf of the dcache team EMI is partially funded by the European Commission under Grant Agreement RI-261611 Orientation:
More informationDatabase monitoring and service validation. Dirk Duellmann CERN IT/PSS and 3D
Database monitoring and service validation Dirk Duellmann CERN IT/PSS and 3D http://lcg3d.cern.ch LCG Database Deployment Plan After October 05 workshop a database deployment plan has been presented to
More informationGeneral Purpose Storage Servers
General Purpose Storage Servers Open Storage Servers Art Licht Principal Engineer Sun Microsystems, Inc Art.Licht@sun.com Agenda Industry issues and Economics Platforms Software Architectures Industry
More informationData Movement & Tiering with DMF 7
Data Movement & Tiering with DMF 7 Kirill Malkin Director of Engineering April 2019 Why Move or Tier Data? We wish we could keep everything in DRAM, but It s volatile It s expensive Data in Memory 2 Why
More informationDiplomado Certificación
Diplomado Certificación Duración: 250 horas. Horario: Sabatino de 8:00 a 15:00 horas. Incluye: 1. Curso presencial de 250 horas. 2.- Material oficial de Oracle University (e-kit s) de los siguientes cursos:
More informationEMC Integrated Infrastructure for VMware. Business Continuity
EMC Integrated Infrastructure for VMware Business Continuity Enabled by EMC Celerra and VMware vcenter Site Recovery Manager Reference Architecture Copyright 2009 EMC Corporation. All rights reserved.
More informationDeveloping Microsoft Azure Solutions (70-532) Syllabus
Developing Microsoft Azure Solutions (70-532) Syllabus Cloud Computing Introduction What is Cloud Computing Cloud Characteristics Cloud Computing Service Models Deployment Models in Cloud Computing Advantages
More informationData Staging: Moving large amounts of data around, and moving it close to compute resources
Data Staging: Moving large amounts of data around, and moving it close to compute resources PRACE advanced training course on Data Staging and Data Movement Helsinki, September 10 th 2013 Claudio Cacciari
More informationSystem Requirements. Hardware and Virtual Appliance Requirements
This chapter provides a link to the Cisco Secure Network Server Data Sheet and lists the virtual appliance requirements. Hardware and Virtual Appliance Requirements, page 1 Virtual Machine Appliance Size
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 informationLustre/HSM Binding. Aurélien Degrémont Aurélien Degrémont LUG April
Lustre/HSM Binding Aurélien Degrémont aurelien.degremont@cea.fr Aurélien Degrémont LUG 2011 12-14 April 2011 1 Agenda Project history Presentation Architecture Components Performances Code Integration
More informationSUN ZFS STORAGE APPLIANCE
SUN ZFS STORAGE APPLIANCE DELIVERING BEST-IN-CLASS PERFORMANCE, EFFICIENCY, AND ORACLE INTEGRATION KEY FEATURES Advanced, intuitive management tools Real-time analysis and diagnosis of performance Oracle
More informationFast, In-Memory Analytics on PPDM. Calgary 2016
Fast, In-Memory Analytics on PPDM Calgary 2016 In-Memory Analytics A BI methodology to solve complex and timesensitive business scenarios by using system memory as opposed to physical disk, by increasing
More informationProviding a first class, enterprise-level, backup and archive service for Oxford University
Providing a first class, enterprise-level, backup and archive service for Oxford University delivering responsive, innovative IT 11th June 2013 11 th June 2013 Contents Service description Service infrastructure
More informationEdinburgh (ECDF) Update
Edinburgh (ECDF) Update Wahid Bhimji On behalf of the ECDF Team HepSysMan,10 th June 2010 Edinburgh Setup Hardware upgrades Progress in last year Current Issues June-10 Hepsysman Wahid Bhimji - ECDF 1
More informationHigh Availability and Disaster Recovery features in Microsoft Exchange Server 2007 SP1
High Availability and Disaster Recovery features in Microsoft Exchange Server 2007 SP1 Product Group - Enterprise Dell White Paper By Farrukh Noman Ananda Sankaran April 2008 Contents Introduction... 3
More information