1 / 19

Belle/Gfarm Grid Experiment at SC04

APAN Workshop Jan 27, 2005 Bangkok. Belle/Gfarm Grid Experiment at SC04. Osamu Tatebe Grid Technology Research Center, AIST. Goal and feature of Grid Datafarm. Goal Dependable data sharing among multiple organizations High-speed data access, High-performance data computing Grid Datafarm

uriah
Download Presentation

Belle/Gfarm Grid Experiment at SC04

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. APAN Workshop Jan 27, 2005 Bangkok Belle/Gfarm Grid Experiment at SC04 Osamu Tatebe Grid Technology Research Center, AIST

  2. Goal and feature of Grid Datafarm • Goal • Dependable data sharing among multiple organizations • High-speed data access, High-performance data computing • Grid Datafarm • Gfarm File System– Global dependable virtual file system • Federates scratch disks in PCs • Parallel & distributed data computing • Associates Computational Grid with Data Grid • Features • Secured based on Grid Security Infrastructure • Scalable depending on data size and usage scenarios • Data location transparent data access • Automatic and transparent replica selection for fault tolerance • High-performance data access and computing by accessing multiple dispersed storages in parallel (file affinity scheduling)

  3. /gfarm ggf jp file1 file2 aist gtrc file2 file1 file3 file4 Grid Datafarm (1): Gfarm file system - World-wide virtual file system [CCGrid 2002] • Transparent access to dispersed file data via global namespace • Files can be stored somewhere in a Grid • Applications can access Gfarm file system without any modificationas if it were mounted at /gfarm • Automatic and transparent replica selection for fault tolerance and access-concentration avoidance Globalnamespace mapping Gfarm File System File replica creation

  4. Grid Datafarm (2): High-performance data access and computing support [CCGrid 2002] User’s view Physical execution view User A submits that accesses is allocated on a node that has File A File A Job A Job A User B submits that accesses is allocated on a node that has File B File B Job B Job B network Computational Grid CPU CPU CPU CPU Gfarm File System Compute and file system nodes Shared network file system Do not separate Storage and CPU Scalable file I/O by exploiting local I/O

  5. GfarmTM Data Grid middleware • Open source development • GfarmTM version 1.0.4-4 released on Jan 11th, 2005 (http://datafarm.apgrid.org/) • Read-write mode support, more support for existing binary applications • A shared file system in a cluster or a grid • Accessibility from legacy applications without any modification • Standard protocol support by scp, GridFTP server, samba server, . . . Metadata server application gfmd slapd * Existing applications can access Gfarm file system without any modification using LD_PRELOAD Gfarm client library CPU CPU CPU CPU gfsd gfsd gfsd gfsd . . . Compute and file system nodes

  6. Demonstration • File manipulation • cd, ls, cp, mv, cat, . . . • grep • Gfarm command • File replica creation, node & process information • Remote (parallel) program execution • gfrun prog args . . . • gfrun -N #procs prog args . . . • gfrun -G filename prog args . . .

  7. Belle/Gfarm Grid experimentat SC2004 1. Online KEKB/Belle distributed data analysis 2. KEKB/Belle large-scale data analysis (terabyte-scale US-Japan file replication)

  8. 1. Online KEKB/Belle distributed data analysis (1) • Online distributed and parallel data analysis of raw data using AIST and SDSC clusters • Realtime histogram and event data display at SC2004 conference hall Raw data 10 MB/sec SC2004 Gfarm file system KEK • realtime histogram display • realtime event data display 192 nodes 53.75 TB SDSC AIST 128 nodes 3.75 TB 64 nodes50 TB • on demand data replication • distributed & parallel data analysis

  9. 1. Online KEKB/Belle distributed data analysis (2) • Construct a shared network file system between Japan and US • Store KEKB/Belle raw data to the Gfarm file system • Physically, it is divided into N fragments, and stored on N different node • Every compute node can access it as if it were mounted at /gfarm Raw data 10 MB/sec SC2004 KEK • realtime histogram display • realtime event data display Gfarm File System SDSC AIST 192 nodes 53.75 TB 64 nodes50 TB 128 nodes 3.75 TB

  10. 1. Online KEKB/Belle distributed data analysis (3) • Basf is installed at /gfarm/~/belle • Install once, run everywhere • The raw data will be analyzed at AIST or SDSC just after it is stored • Analyzed data can be viewed at SC2004 in realtime • Histogram snapshot is generated every 5 minutes Raw data 10 MB/sec Computational Grid SC2004 KEK • realtime histogram display • realtime event data display Gfarm File System SDSC AIST 192 nodes 53.75 TB 64 nodes50 TB 128 nodes 3.75 TB

  11. 2. KEKB/Belle large-scale data analysis in a Grid • Gfarm file system using SC conference hall and AIST F cluster • Assume data is stored at SC conference hall • Terabyte-scale mock data • Submit data analysis job at AIST F cluster • Required data is automatically transferred from SC to AIST on demand • Users just see a shared file system • Network transfer rate is measured • Conf 1: 8 parallel processes (2GBx8 data) • Conf 2: 16 parallel processes (8GBx16 data)

  12. PC AIST F cluster PC PC PC PC 10G (OC192) PC PC PC FCx16 1Gx8 PCx256 2TBx16 PCx8 2. Network & machine configuration JGN2 Tsukuba WAN SC2004 StorCloud AIST F cluster JGN2 Japan-US 10Gbps 10Gbps 10Gbps Chicago Tokyo Pittsburgh

  13. SC→AIST (Iperf x 8) 7,925,607,155 bps (Wed Nov 10 17:13:22 JST 2004) (5-sec average bandwidth, 991 Mbps / TCP flow)

  14. Iperf measurement • Standard TCP (Linux 2.4) • Socket buffer size and txqueuelen • No kernel patch, no TCP modification • No traffic shaping • No bottleneck, no problem

  15. Conf 1: 8 processes (2GBx8) 2,084,209,307 bps (Fri Nov 12 03:41:54 JST 2004) (5-sec average, 261 Mbps / TCP flow, ～disk performance of F cluster)

  16. Conf 2: 16 processes (8GBx16) 738,920,649 bps (Fri Nov 12 05:30:35 JST 2004) (5-sec average, 46 Mbps!! / TCP flow, ?????)

  17. Conf 2: network traffic of JGN2 int’l link Heavy traffic when application started Heavy packet loss→ssthresh decreases

  18. Summary • Belle/Gfarm Grid experiment at SC2004 • 1. Online KEKB/Belle distributed data analysis • 2. KEKB/Belle large-scale data analysis • We succeeded distributed & parallel data analysis of KEKB/Belle data and realtime display at SC conference hall

  19. Development Status and Future Plan • Gfarm – Grid file system • Global virtual file system • A dependable network shared file system in a cluster or a grid • High performance data computing support • Associates Computational Grid with Data Grid • Gfarm v1 Data Grid middleware • Version 1.0.4-4 released on Jan 11, 2005 (http://datafarm.apgrid.org/) • Existing programs can access Gfarm file system as if it were mounted at /gfarm • Gfarm v2 – towards *true* global virtual file system • POSIX compliant - supports read-write mode, advisory file locking, . . . • Performance and Robustness improved, Security enhanced. • Can be substituted for NFS, AFS, . . . • Application area • Scientific application (High energy physics, Astronomic data analysis, Bioinformatics, Computational Chemistry, Computational Physics, . . .) • Business application (Dependable data computing in eGovernment and eCommerce, . . .) • Other applications that needs dependable file sharing among several organizations • Standardization effort with GGF Grid File System WG (GFS-WG) https://datafarm.apgrid.org/

More Related