Experience of Data Grid simulation packages using.

Size: px
Start display at page:

Download "Experience of Data Grid simulation packages using."

Transcription

1 Experience of Data Grid simulation packages using. Nechaevskiy A.V. (SINP MSU), Korenkov V.V. (LIT JINR) Dubna, 2008

2 Contant Operation of LCG DataGrid Errors of FTS services of the Grid. Primary goals of the Grid simulation systems. The OptorSim and the GridSim simulators. Results of the LCG DataGrid simulation with the OptorSim. Tier- 2s and Tier-1s are inter- connected by the general Grid solution for LHC experiments Any may access data at any Tier- 1 BNL Nordic IN2P3 purpose research networks GridKa TRIUMF ASCC FNAL CNAF SARA PIC RAL

3 LHC experiments support Errors description are used in FTS monitoring: Scope source s error (SOURCE source site, DESTINATION destination site, TRANSFER during transfer). Category an error class (FILE-EXIST, NO-SPACE-LEFT, TRANSFER-TOMEOUT etc.). Phase a stage in transfer life cycle on which there was an error (ALLOCATION, TRANSFER-PREPARATION, TRANSFER, etc.). Message the detailed description of an error. We have a list from more than 400 various patterns which changes in time. Main faults have been allocated for the monitoring time: timeouts, the program errors, specific errors of applications and an users errors. SOURCE during PREPARATION phase: [REQUEST_TIMEOUT] failed to prepare source file in 180 seconds TRANSFER during TRANSFER phase: [TRANSFER_TIMEOUT] gridftp_copy_wait: Connection timed out The server sent an error response: Can't open data connection. timed out() failed DESTINATION during PREPARATION phase: [CONNECTION] failed to contact on remote SRM [srm]. Givin' up after 3 tries Error s details description:

4 The primary goals solved by DataGrid simulation tools Grid simulators: SimGrid OptorSim GridSim Simulation allows to make various experiments of investigated object; Simulation allows to predict and prevent a number of unexpected situations; Simulation makes it possible to define equipment for data transfers and data storage in a minimum variation for providing requirements of the project; Simulation also gives possibilities to check the system work to define its "bottlenecks" and many other possibilities.

5 Requirements for grid simulator It is obvious that a simulator must include: simulation of operation of DataGrid s basic elements (data storage elements (SE), resource brokers (RB), replica catalogs (RC), network, users, sites); simulation time has to be much less then a time of real work of DataGrid; different kind of statistics is needed (for example, volume of data transfers, throughput, etc.); simulation of failures of the equipment is necessary and also results of the simulation should be comparable to a real situation.

6 OptorSim allows to estimate various algorithms of optimisation and replication strategy Implemented in Java Configuration files are used to set simulation s parameters The source code is available OptorSim edg-wp2.web.cern.ch/edgwp2/optimization/optorsim.html

7 Implementation of the Replica Catalog in the LCG and in the OptorSim LCG: The file catalogue LFC stores the information about all the files and their replicas in the LCG. It is one of the critical services. Logical File Name (LFN) An alias created by a user to refer to some item of data, e.g. lfn:cms/ /run2/track1 Globally Unique Identifier (GUID) A non-human-readable unique identifier for an item of data, e.g. guid:f81d4fae-7dec-11d0-a765-00a0c91e6bf6 Site URL (SURL) / Physical FN (PFN) / Site FN (SFN) The location of an actual piece of data on a storage system, e.g. srm://srm.cern.ch/castor/ cern.ch/grid/cms/output10_1 OptorSim: File information is stored in the OptorSim in the Replica Catalogue (same in LCG) Replica Catalogue is a list of mapping of LFN to their physical file names (LFN and PFN in LCG) Replica Manager manages the data replication and registers files in Replica Catalogue (The cataloging of the files is implemented in the LFC) The "best" placement of replica is defined before the transfer. It allows Sites to copy the files from different sources in order to avoid huge loadings of the resources.

8 OptorSim s - graphic interface The Statistics is available in the table forms, graphics and diagrammes

9 GridSim GridSim allows to simulate various classes of heterogeneous resources, users, applications and brokers Implemented in Java Configuration files are used to set simulation s parameters The source code is available There is a lot of examples of the GridSim using

10 The simulation details CERN-RDIG segment is a part of global LCG structure GEANT2 network are used for the huge data traffic between CERN and RDIG s sites and other participants Routers are also used for foreign traffic and they are represented as background traffic in the simulastion Four RDIG s sites - JINR, SINP (Moscow State University), IHEP, ITEP were considered

11 Simulation s results It is required hours for transfer of GB data with 6-12 Mb/s throughputs. This situation is close to a reality The volumes of the data transfers can vary from several Gigabytes to hundreds of Gigabytes per hour but channel s throughputs in the OptorSim are fixed The possibility to simulate various failures of the equipment and the other errors is absent in the OptorSim Throughput of the channel CERN-JINR and quantity of the passed data for

12 Conclusion The main errors of the LCG including the FTS errors were considered The simulation toolkits do not provide possibility to simulate various sorts of errors in Grid The simulation of the various sorts of errors in Grid-networks is necessary

13 Questions?

Introduction to SRM. Riccardo Zappi 1

Introduction 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 information

Department of Physics & Astronomy

Department of Physics & Astronomy Department of Physics & Astronomy Experimental Particle Physics Group Kelvin Building, University of Glasgow, Glasgow, G12 8QQ, Scotland Telephone: +44 (0)141 339 8855 Fax: +44 (0)141 330 5881 GLAS-PPE/2004-??

More information

Introduction Data Management Jan Just Keijser Nikhef Grid Tutorial, November 2008

Introduction 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 information

RDMS CMS Computing Activities before the LHC start

RDMS CMS Computing Activities before the LHC start RDMS CMS Computing Activities before the LHC start RDMS CMS computing model Tiers 1 CERN Collaborative centers: RCC RCC MSU, MSU, RRC RRC KI KI Kharkov Minsk JINR Erevan SINP MSU RDMS CMS Tier2 Tbilisi

More information

The LHC Computing Grid

The LHC Computing Grid The LHC Computing Grid Visit of Finnish IT Centre for Science CSC Board Members Finland Tuesday 19 th May 2009 Frédéric Hemmer IT Department Head The LHC and Detectors Outline Computing Challenges Current

More information

RUSSIAN DATA INTENSIVE GRID (RDIG): CURRENT STATUS AND PERSPECTIVES TOWARD NATIONAL GRID INITIATIVE

RUSSIAN DATA INTENSIVE GRID (RDIG): CURRENT STATUS AND PERSPECTIVES TOWARD NATIONAL GRID INITIATIVE RUSSIAN DATA INTENSIVE GRID (RDIG): CURRENT STATUS AND PERSPECTIVES TOWARD NATIONAL GRID INITIATIVE Viacheslav Ilyin Alexander Kryukov Vladimir Korenkov Yuri Ryabov Aleksey Soldatov (SINP, MSU), (SINP,

More information

Distributed Data Management on the Grid. Mario Lassnig

Distributed 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 information

The grid for LHC Data Analysis

The grid for LHC Data Analysis The grid for LHC Data Analysis ICAP 2006 Conference Chamonix 5 October 2006 Les Robertson - CERN LHC Computing Grid Project Leader The LHC Computing Challenges 1. Data After reduction by triggers and data

More information

The JINR Tier1 Site Simulation for Research and Development Purposes

The JINR Tier1 Site Simulation for Research and Development Purposes EPJ Web of Conferences 108, 02033 (2016) DOI: 10.1051/ epjconf/ 201610802033 C Owned by the authors, published by EDP Sciences, 2016 The JINR Tier1 Site Simulation for Research and Development Purposes

More information

Database monitoring and service validation. Dirk Duellmann CERN IT/PSS and 3D

Database 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 information

Status of KISTI Tier2 Center for ALICE

Status 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 information

Federated data storage system prototype for LHC experiments and data intensive science

Federated data storage system prototype for LHC experiments and data intensive science Federated data storage system prototype for LHC experiments and data intensive science A. Kiryanov 1,2,a, A. Klimentov 1,3,b, D. Krasnopevtsev 1,4,c, E. Ryabinkin 1,d, A. Zarochentsev 1,5,e 1 National

More information

Federated Data Storage System Prototype based on dcache

Federated Data Storage System Prototype based on dcache Federated Data Storage System Prototype based on dcache Andrey Kiryanov, Alexei Klimentov, Artem Petrosyan, Andrey Zarochentsev on behalf of BigData lab @ NRC KI and Russian Federated Data Storage Project

More information

DIRAC data management: consistency, integrity and coherence of data

DIRAC 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 information

Data Storage. Paul Millar dcache

Data 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 information

Workload Management. Stefano Lacaprara. CMS Physics Week, FNAL, 12/16 April Department of Physics INFN and University of Padova

Workload 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 information

Operating the Distributed NDGF Tier-1

Operating the Distributed NDGF Tier-1 Operating the Distributed NDGF Tier-1 Michael Grønager Technical Coordinator, NDGF International Symposium on Grid Computing 08 Taipei, April 10th 2008 Talk Outline What is NDGF? Why a distributed Tier-1?

More information

Scientific data processing at global scale The LHC Computing Grid. fabio hernandez

Scientific 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 information

A Simulation Model for Large Scale Distributed Systems

A Simulation Model for Large Scale Distributed Systems A Simulation Model for Large Scale Distributed Systems Ciprian M. Dobre and Valentin Cristea Politechnica University ofbucharest, Romania, e-mail. **Politechnica University ofbucharest, Romania, e-mail.

More information

CHIPP Phoenix Cluster Inauguration

CHIPP 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 information

Data Management. Enabling Grids for E-sciencE. Vladimir Slavnic Scientific Computing Laboratory Institute of Physics Belgrade, Serbia

Data 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 information

Data transfer over the wide area network with a large round trip time

Data 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 information

GRID Activity at Russia and JINR

GRID Activity at Russia and JINR GRID Activity at Russia and JINR Korenkov Vladimir (LIT,JINR) MMCP-2009, Dubna,, 07.07.09 Grid computing Today there are many definitions of Grid computing: The definitive definition of a Grid is provided

More information

The Grid: Processing the Data from the World s Largest Scientific Machine

The Grid: Processing the Data from the World s Largest Scientific Machine The Grid: Processing the Data from the World s Largest Scientific Machine 10th Topical Seminar On Innovative Particle and Radiation Detectors Siena, 1-5 October 2006 Patricia Méndez Lorenzo (IT-PSS/ED),

More information

LHCb Distributed Conditions Database

LHCb Distributed Conditions Database LHCb Distributed Conditions Database Marco Clemencic E-mail: marco.clemencic@cern.ch Abstract. The LHCb Conditions Database project provides the necessary tools to handle non-event time-varying data. The

More information

Scientific data management

Scientific data management Scientific data management Storage and data management components Application database Certificate Certificate Authorised users directory Certificate Certificate Researcher Certificate Policies Information

More information

glite Grid Services Overview

glite 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 information

The 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 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 information

Data 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 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 information

Tier-2 DESY Volker Gülzow, Peter Wegner

Tier-2 DESY Volker Gülzow, Peter Wegner Tier-2 Planning @ DESY Volker Gülzow, Peter Wegner DESY DV&IT 1 Outline LCG- requirements and concept Current status and plans for DESY Conclusion Plans for Zeuthen DESY DV&IT 2 LCG requirements and concepts

More information

HEP replica management

HEP 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 information

Future Generation Computer Systems. PDDRA: A new pre-fetching based dynamic data replication algorithm in data grids

Future Generation Computer Systems. PDDRA: A new pre-fetching based dynamic data replication algorithm in data grids Future Generation Computer Systems 28 (2012) 666 681 Contents lists available at SciVerse ScienceDirect Future Generation Computer Systems journal homepage: www.elsevier.com/locate/fgcs PDDRA: A new pre-fetching

More information

HOME GOLE Status. David Foster CERN Hawaii GLIF January CERN - IT Department CH-1211 Genève 23 Switzerland

HOME GOLE Status. David Foster CERN Hawaii GLIF January CERN - IT Department CH-1211 Genève 23 Switzerland HOME GOLE Status David Foster CERN Hawaii GLIF January 2008 CERN March 2007 CERN External Network Links 20G SWITCH COLT - ISP 12.5G Geant2 Interoute - ISP Globalcrossing - ISP CA-TRIUMF - Tier1 DE-KIT

More information

Worldwide Production Distributed Data Management at the LHC. Brian Bockelman MSST 2010, 4 May 2010

Worldwide Production Distributed Data Management at the LHC. Brian Bockelman MSST 2010, 4 May 2010 Worldwide Production Distributed Data Management at the LHC Brian Bockelman MSST 2010, 4 May 2010 At the LHC http://op-webtools.web.cern.ch/opwebtools/vistar/vistars.php?usr=lhc1 Gratuitous detector pictures:

More information

CLOUDS OF JINR, UNIVERSITY OF SOFIA AND INRNE JOIN TOGETHER

CLOUDS OF JINR, UNIVERSITY OF SOFIA AND INRNE JOIN TOGETHER CLOUDS OF JINR, UNIVERSITY OF SOFIA AND INRNE JOIN TOGETHER V.V. Korenkov 1, N.A. Kutovskiy 1, N.A. Balashov 1, V.T. Dimitrov 2,a, R.D. Hristova 2, K.T. Kouzmov 2, S.T. Hristov 3 1 Laboratory of Information

More information

Challenges of the LHC Computing Grid by the CMS experiment

Challenges of the LHC Computing Grid by the CMS experiment 2007 German e-science Available online at http://www.ges2007.de This document is under the terms of the CC-BY-NC-ND Creative Commons Attribution Challenges of the LHC Computing Grid by the CMS experiment

More information

CERN network overview. Ryszard Jurga

CERN network overview. Ryszard Jurga CERN network overview Ryszard Jurga CERN openlab Summer Student Programme 2010 Outline CERN networks Campus network LHC network CERN openlab NCC 2 CERN campus network 3 Network Backbone Topology Gigabit

More information

WLCG Network Throughput WG

WLCG Network Throughput WG WLCG Network Throughput WG Shawn McKee, Marian Babik for the Working Group HEPiX Tsukuba 16-20 October 2017 Working Group WLCG Network Throughput WG formed in the fall of 2014 within the scope of WLCG

More information

First Experience with LCG. Board of Sponsors 3 rd April 2009

First Experience with LCG. Board of Sponsors 3 rd April 2009 First Experience with LCG Operation and the future... CERN openlab Board of Sponsors 3 rd April 2009 Ian Bird LCG Project Leader The LHC Computing Challenge Signal/Noise: 10-9 Data volume High rate * large

More information

Philippe Charpentier PH Department CERN, Geneva

Philippe 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 information

Grid Data Management

Grid 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 information

I Service Challenge e l'implementazione dell'architettura a Tier in WLCG per il calcolo nell'era LHC

I Service Challenge e l'implementazione dell'architettura a Tier in WLCG per il calcolo nell'era LHC I Service Challenge e l'implementazione dell'architettura a Tier in WLCG per il calcolo nell'era LHC T. Ferrari (INFN-CNAF Tier-1) D. Bonacorsi (INFN-CNAF Tier-1 and CMS experiment) IFAE 2006 Incontri

More information

A scalable storage element and its usage in HEP

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 information

2012 STANDART YEAR CERN Tier0 CAF Tier 1 Total Tier1 Tier1ex Tier2ex Total ex Total CPU (MSI2K)

2012 STANDART YEAR CERN Tier0 CAF Tier 1 Total Tier1 Tier1ex Tier2ex Total ex Total CPU (MSI2K) 18 déc. 07 2007 NEW LHC SCHEDULE CERN Tier0 CAF Tier 1 Tier1 Tier1ex Tier2ex ex 0.0675 0.0304 0.0246 0.0979 3.2160 3.1914 3.1914 3.2894 0 CPU (MSI2K) 0.0205 0.0093 0.0075 0.0298 0.9777 0.9702 0.0000 0.9702

More information

Understanding StoRM: from introduction to internals

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 information

150 million sensors deliver data. 40 million times per second

150 million sensors deliver data. 40 million times per second CERN June 2007 View of the ATLAS detector (under construction) 150 million sensors deliver data 40 million times per second ATLAS distributed data management software, Don Quijote 2 (DQ2) ATLAS full trigger

More information

Data Transfers Between LHC Grid Sites Dorian Kcira

Data 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 information

EU DataGRID testbed management and support at CERN

EU DataGRID testbed management and support at CERN EU DataGRID testbed management and support at CERN E. Leonardi and M.W. Schulz CERN, Geneva, Switzerland In this paper we report on the first two years of running the CERN testbed site for the EU DataGRID

More information

High Performance Computing Course Notes Grid Computing I

High Performance Computing Course Notes Grid Computing I High Performance Computing Course Notes 2008-2009 2009 Grid Computing I Resource Demands Even as computer power, data storage, and communication continue to improve exponentially, resource capacities are

More information

The EU DataGrid Testbed

The EU DataGrid Testbed The EU DataGrid Testbed The European DataGrid Project Team http://www.eudatagrid.org DataGrid is a project funded by the European Union Grid Tutorial 4/3/2004 n 1 Contents User s Perspective of the Grid

More information

The glite middleware. Ariel Garcia KIT

The 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 information

The 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 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 information

Forschungszentrum Karlsruhe in der Helmholtz-Gemeinschaft. Presented by Manfred Alef Contributions of Jos van Wezel, Andreas Heiss

Forschungszentrum 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 information

Grid Computing. MCSN - N. Tonellotto - Distributed Enabling Platforms

Grid 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 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 ( 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 information

A short introduction to the Worldwide LHC Computing Grid. Maarten Litmaath (CERN)

A short introduction to the Worldwide LHC Computing Grid. Maarten Litmaath (CERN) A short introduction to the Worldwide LHC Computing Grid Maarten Litmaath (CERN) 10-15 PetaByte/year The LHC challenge Data analysis requires at least ~100k typical PC processor cores Scientists in tens

More information

Andrea Sciabà CERN, Switzerland

Andrea 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 information

DataGRID. Lead Partner: Document status:

DataGRID. Lead Partner: Document status: DataGRID EDG REPLICATION METADATA USER GUIDE TESTBED 2.0 Document identifier: EDMS id: Work package: Partner(s): Lead Partner: Document status: Author(s): File: WP02: Data Management CERN, PPARC, HIP,

More information

A Toolkit for Modelling and Simulation of Data Grids with Integration of Data Storage, Replication and Analysis

A Toolkit for Modelling and Simulation of Data Grids with Integration of Data Storage, Replication and Analysis A Toolkit for Modelling and Simulation of Data Grids with Integration of Data Storage, Replication and Analysis Anthony Sulistio a,, Uroš Čibej b, Borut Robič b, and Rajkumar Buyya a a Grid Computing and

More information

The European DataGRID Production Testbed

The 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 information

University of Castilla-La Mancha

University of Castilla-La Mancha University of Castilla-La Mancha A publication of the Computing Systems Department Extending GridSim to Provide Computing Resource Failures by Agustín Caminero, Blanca Caminero, Carmen Carrión Technical

More information

ANSE: Advanced Network Services for [LHC] Experiments

ANSE: Advanced Network Services for [LHC] Experiments ANSE: Advanced Network Services for [LHC] Experiments Artur Barczyk California Institute of Technology Joint Techs 2013 Honolulu, January 16, 2013 Introduction ANSE is a project funded by NSF s CC-NIE

More information

ATLAS DQ2 to Rucio renaming infrastructure

ATLAS DQ2 to Rucio renaming infrastructure ATLAS DQ2 to Rucio renaming infrastructure C. Serfon 1, M. Barisits 1,2, T. Beermann 1, V. Garonne 1, L. Goossens 1, M. Lassnig 1, A. Molfetas 1,3, A. Nairz 1, G. Stewart 1, R. Vigne 1 on behalf of the

More information

Online data storage service strategy for the CERN computer Centre G. Cancio, D. Duellmann, M. Lamanna, A. Pace CERN, Geneva, Switzerland

Online data storage service strategy for the CERN computer Centre G. Cancio, D. Duellmann, M. Lamanna, A. Pace CERN, Geneva, Switzerland Online data storage service strategy for the CERN computer Centre G. Cancio, D. Duellmann, M. Lamanna, A. Pace CERN, Geneva, Switzerland Abstract. The Data and Storage Services group at CERN is conducting

More information

RESEARCH NETWORKS & THEIR ROLE IN e-infrastructures

RESEARCH NETWORKS & THEIR ROLE IN e-infrastructures RESEARCH NETWORKS & THEIR ROLE IN e-infrastructures Vasilis Maglaris maglaris@mail.ntua.gr Chairman, NREN Policy Committee - GÉANT Consortium Professor, National Technical University of Athens - NTUA A

More information

Benchmarking third-party-transfer protocols with the FTS

Benchmarking third-party-transfer protocols with the FTS Benchmarking third-party-transfer protocols with the FTS Rizart Dona CERN Summer Student Programme 2018 Supervised by Dr. Simone Campana & Dr. Oliver Keeble 1.Introduction 1 Worldwide LHC Computing Grid

More information

Distributed Computing Grid Experiences in CMS Data Challenge

Distributed Computing Grid Experiences in CMS Data Challenge Distributed Computing Grid Experiences in CMS Data Challenge A.Fanfani Dept. of Physics and INFN, Bologna Introduction about LHC and CMS CMS Production on Grid CMS Data challenge 2 nd GGF School on Grid

More information

Simulation model and instrument to evaluate replication technologies

Simulation model and instrument to evaluate replication technologies Simulation model and instrument to evaluate replication technologies Bogdan Eremia *, Ciprian Dobre *, Florin Pop *, Alexandru Costan *, Valentin Cristea * * University POLITEHNICA of Bucharest, Romania

More information

Future Developments in the EU DataGrid

Future Developments in the EU DataGrid Future Developments in the EU DataGrid The European DataGrid Project Team http://www.eu-datagrid.org DataGrid is a project funded by the European Union Grid Tutorial 4/3/2004 n 1 Overview Where is the

More information

The evolving role of Tier2s in ATLAS with the new Computing and Data Distribution model

The evolving role of Tier2s in ATLAS with the new Computing and Data Distribution model Journal of Physics: Conference Series The evolving role of Tier2s in ATLAS with the new Computing and Data Distribution model To cite this article: S González de la Hoz 2012 J. Phys.: Conf. Ser. 396 032050

More information

PoS(EGICF12-EMITC2)106

PoS(EGICF12-EMITC2)106 DDM Site Services: A solution for global replication of HEP data Fernando Harald Barreiro Megino 1 E-mail: fernando.harald.barreiro.megino@cern.ch Simone Campana E-mail: simone.campana@cern.ch Vincent

More information

Monte Carlo Production on the Grid by the H1 Collaboration

Monte Carlo Production on the Grid by the H1 Collaboration Journal of Physics: Conference Series Monte Carlo Production on the Grid by the H1 Collaboration To cite this article: E Bystritskaya et al 2012 J. Phys.: Conf. Ser. 396 032067 Recent citations - Monitoring

More information

Constant monitoring of multi-site network connectivity at the Tokyo Tier2 center

Constant monitoring of multi-site network connectivity at the Tokyo Tier2 center Constant monitoring of multi-site network connectivity at the Tokyo Tier2 center, T. Mashimo, N. Matsui, H. Matsunaga, H. Sakamoto, I. Ueda International Center for Elementary Particle Physics, The University

More information

CERN and Scientific Computing

CERN and Scientific Computing CERN and Scientific Computing Massimo Lamanna CERN Information Technology Department Experiment Support Group 1960: 26 GeV proton in the 32 cm CERN hydrogen bubble chamber 1960: IBM 709 at the Geneva airport

More information

HEP Grid Activities in China

HEP 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 information

I 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. 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 information

Grid Architectural Models

Grid 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 information

SAM at CCIN2P3 configuration issues

SAM 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 information

Dynamic Data Grid Replication Strategy Based on Internet Hierarchy

Dynamic Data Grid Replication Strategy Based on Internet Hierarchy Dynamic Data Grid Replication Strategy Based on Internet Hierarchy Sang-Min Park 1, Jai-Hoon Kim 1, Young-Bae Ko 2, and Won-Sik Yoon 2 1 Graduate School of Information and Communication Ajou University,

More information

Grid Challenges and Experience

Grid Challenges and Experience Grid Challenges and Experience Heinz Stockinger Outreach & Education Manager EU DataGrid project CERN (European Organization for Nuclear Research) Grid Technology Workshop, Islamabad, Pakistan, 20 October

More information

Storage and I/O requirements of the LHC experiments

Storage 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 information

Challenges and Evolution of the LHC Production Grid. April 13, 2011 Ian Fisk

Challenges and Evolution of the LHC Production Grid. April 13, 2011 Ian Fisk Challenges and Evolution of the LHC Production Grid April 13, 2011 Ian Fisk 1 Evolution Uni x ALICE Remote Access PD2P/ Popularity Tier-2 Tier-2 Uni u Open Lab m Tier-2 Science Uni x Grid Uni z USA Tier-2

More information

WHEN the Large Hadron Collider (LHC) begins operation

WHEN the Large Hadron Collider (LHC) begins operation 2228 IEEE TRANSACTIONS ON NUCLEAR SCIENCE, VOL. 53, NO. 4, AUGUST 2006 Measurement of the LCG2 and Glite File Catalogue s Performance Craig Munro, Birger Koblitz, Nuno Santos, and Akram Khan Abstract When

More information

High Performance Computing on MapReduce Programming Framework

High Performance Computing on MapReduce Programming Framework International Journal of Private Cloud Computing Environment and Management Vol. 2, No. 1, (2015), pp. 27-32 http://dx.doi.org/10.21742/ijpccem.2015.2.1.04 High Performance Computing on MapReduce Programming

More information

Replication and scheduling Methods Based on Prediction in Data Grid

Replication and scheduling Methods Based on Prediction in Data Grid Australian Journal of Basic and Applied Sciences, 5(11): 1485-1496, 2011 ISSN 1991-8178 Replication and scheduling Methods Based on Prediction in Data Grid 1 R. Sepahvand, 2 A. Horri and 3 Gh. Dastghaibyfard

More information

The DESY Grid Testbed

The DESY Grid Testbed The DESY Grid Testbed Andreas Gellrich * DESY IT Group IT-Seminar 27.01.2004 * e-mail: Andreas.Gellrich@desy.de Overview The Physics Case: LHC DESY The Grid Idea: Concepts Implementations Grid @ DESY:

More information

Bookkeeping and submission tools prototype. L. Tomassetti on behalf of distributed computing group

Bookkeeping and submission tools prototype. L. Tomassetti on behalf of distributed computing group Bookkeeping and submission tools prototype L. Tomassetti on behalf of distributed computing group Outline General Overview Bookkeeping database Submission tools (for simulation productions) Framework Design

More information

Overview of HEP software & LCG from the openlab perspective

Overview of HEP software & LCG from the openlab perspective Overview of HEP software & LCG from the openlab perspective Andreas Unterkircher, CERN openlab February 2005 Andreas Unterkircher 1 Contents 1. Opencluster overview 2. High Energy Physics (HEP) software

More information

HTC/HPC Russia-EC. V. Ilyin NRC Kurchatov Institite Moscow State University

HTC/HPC Russia-EC. V. Ilyin NRC Kurchatov Institite Moscow State University HTC/HPC Russia-EC V. Ilyin NRC Kurchatov Institite Moscow State University some slides, with thanks, used available by Ian Bird (CERN) Alexey Klimentov (CERN, BNL) Vladimir Voevodin )MSU) V. Ilyin meeting

More information

Experiences in testing a Grid service in a production environment

Experiences 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 information

ISTITUTO NAZIONALE DI FISICA NUCLEARE

ISTITUTO NAZIONALE DI FISICA NUCLEARE ISTITUTO NAZIONALE DI FISICA NUCLEARE Sezione di Perugia INFN/TC-05/10 July 4, 2005 DESIGN, IMPLEMENTATION AND CONFIGURATION OF A GRID SITE WITH A PRIVATE NETWORK ARCHITECTURE Leonello Servoli 1,2!, Mirko

More information

Currently, Grid computing has emerged as a

Currently, Grid computing has emerged as a Journal of Advances in Computer Engineering and Technology, 1(4) 2015 Reliability and Availability Improvement in Economic Data Grid Environment Based On Clustering Approach (RAG) Ali Abbasi 1, Amir Masoud

More information

GRID COMPUTING APPLIED TO OFF-LINE AGATA DATA PROCESSING. 2nd EGAN School, December 2012, GSI Darmstadt, Germany

GRID COMPUTING APPLIED TO OFF-LINE AGATA DATA PROCESSING. 2nd EGAN School, December 2012, GSI Darmstadt, Germany GRID COMPUTING APPLIED TO OFF-LINE AGATA DATA PROCESSING M. KACI mohammed.kaci@ific.uv.es 2nd EGAN School, 03-07 December 2012, GSI Darmstadt, Germany GRID COMPUTING TECHNOLOGY THE EUROPEAN GRID: HISTORY

More information

Sphinx: A Scheduling Middleware for Data Intensive Applications on a Grid

Sphinx: A Scheduling Middleware for Data Intensive Applications on a Grid Sphinx: A Scheduling Middleware for Data Intensive Applications on a Grid Richard Cavanaugh University of Florida Collaborators: Janguk In, Sanjay Ranka, Paul Avery, Laukik Chitnis, Gregory Graham (FNAL),

More information

GridNEWS: A distributed Grid platform for efficient storage, annotating, indexing and searching of large audiovisual news content

GridNEWS: 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 information

LCG MCDB Knowledge Base of Monte Carlo Simulated Events

LCG MCDB Knowledge Base of Monte Carlo Simulated Events LCG MCDB Knowledge Base of Monte Carlo Simulated Events ACAT 2007, Amsterdam Sergey Belov, JINR, Dubna belov@jinr.ru http://mcdb.cern.ch LCG MCDB group: S. Belov, JINR L. Dudko, SINP MSU W. Pokorski, CERN

More information

Investigation on Oracle GoldenGate Veridata for Data Consistency in WLCG Distributed Database Environment

Investigation on Oracle GoldenGate Veridata for Data Consistency in WLCG Distributed Database Environment Investigation on Oracle GoldenGate Veridata for Data Consistency in WLCG Distributed Database Environment August 2014 Author: Anti Asko Supervisor(s): Lorena Lobato Pardavila CERN Openlab Summer Student

More information

LCG-2 and glite Architecture and components

LCG-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 information

ALHAD G. APTE, BARC 2nd GARUDA PARTNERS MEET ON 15th & 16th SEPT. 2006

ALHAD G. APTE, BARC 2nd GARUDA PARTNERS MEET ON 15th & 16th SEPT. 2006 GRID COMPUTING ACTIVITIES AT BARC ALHAD G. APTE, BARC 2nd GARUDA PARTNERS MEET ON 15th & 16th SEPT. 2006 Computing Grid at BARC Computing Grid system has been set up as a Test-Bed using existing Grid Technology

More information

where the Web was born Experience of Adding New Architectures to the LCG Production Environment

where the Web was born Experience of Adding New Architectures to the LCG Production Environment where the Web was born Experience of Adding New Architectures to the LCG Production Environment Andreas Unterkircher, openlab fellow Sverre Jarp, CTO CERN openlab Industrializing the Grid openlab Workshop

More information