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A comparison of data-access platforms for the computing of Large Hadron Collider experiments
- Source :
- IEEE Transactions on Nuclear Science. June, 2008, Vol. 55 Issue 3, p1621, 10 p.
- Publication Year :
- 2008
-
Abstract
- Performance, reliability and scalability in data-access are key issues in the context of the computing Grid and High Energy Physics data processing and analysis applications, in particular considering the large data size and I/O load that a Large Hadron Collider data centre has to support. In this paper we present the technical details and the results of a large scale validation and performance measurement employing different data-access platforms--namely CASTOR, dCache, GPFS and Scalla/Xrootd. The tests have been performed at the CNAF Tier-l, the central computing facility of the Italian National Institute for Nuclear Research (INFN). Our storage back-end was based on Fibre Channel disk-servers organized in a Storage Area Network, being the disk-servers connected to the computing farm via Gigabit LAN. We used 24 disk-servers, 260 TB of raw-disk space and 280 worker nodes as computing clients, able to run concurrently up to about 1100 jobs. The aim of the test was to perform sequential and random read/write accesses to the data, as well as more realistic access patterns, in order to evaluate efficiency, availability, robustness and performance of the various data-access solutions. Index Terms--Computer facilities, computer input-output, data handling, data processing, mass memories, system analysis and design.
- Subjects :
- Nuclear research -- Equipment and supplies
Collisions (Nuclear physics) -- Research
Electronic data processing -- Methods
System design -- Methods
Systems analysis -- Methods
Memory (Computers) -- Evaluation
System design
Semiconductor memory
Business
Electronics
Electronics and electrical industries
Subjects
Details
- Language :
- English
- ISSN :
- 00189499
- Volume :
- 55
- Issue :
- 3
- Database :
- Gale General OneFile
- Journal :
- IEEE Transactions on Nuclear Science
- Publication Type :
- Academic Journal
- Accession number :
- edsgcl.180798665