Coasters: Uniform resource provisioning and access for clouds and grids

Proceedings - 2011 4th IEEE International Conference on Utility and Cloud Computing, UCC 2011

Volumn , Issue , 2011, Pages 114-121

  Hategan, Mihael ^a   Wozniak, Justin ^b   Maheshwari, Ketan ^b  

^a UNIVERSITY OF CHICAGO   (United States)

^b ARGONNE NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMAZON EC2; BLUE GENE; EARTH SYSTEMS SCIENCE; ENERGY MODELING; IN-FIELD; OPEN SCIENCE GRID; REMOTE MONITORING; RESOURCE PROVISIONING;

CLOUDS; SUPERCOMPUTERS; SYSTEMS SCIENCE;

CLOUD COMPUTING;

EID: 84856324885     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/UCC.2011.25     Document Type: Conference Paper

References (33)

1. P. H. Beckman. Building the TeraGrid. Philosophical Transactions of the Royal Society, 363(1833), 2005.
2. Bionimbus web site. http://www.bionimbus.org.
3. Cobalt web site. http://trac.mcs.anl.gov/projects/cobalt.
4. CoG workflow guide. http://wiki.cogkit.org/wiki/Java-CoG-Kit-Workflow- Guide.
5. Cray XE web site. http://www.cray.com/Products/XE/CrayXE6System.aspx.
6. K. Czajkowski, I. Foster, N. Karonis, C. Kesselman, S. Martin, W. Smith, and S. Tuecke. A resource management architecture for metacomputing systems. Lecture Notes in Computer Science, 1459, 1998.
7. E. Deelman, G. Singh, M.-H. Su, J. Blythe, Y. Gila, C. Kesselman, G. Mehta, K. Vahi, G. B. Berriman, J. Good, A. Laity, J. C. Jacob, and D. S. Katz. Pegasus: A framework for mapping complex scientific workflows onto distributed systems. Scientific Programming, 13, 2005.
8. I. Foster, J. Voeckler, M. Wilde, and Y. Zhao. Chimera: A virtual data system for representing, querying, and automating data derivation. In Proc. Scientific and Statistical Database Management, 2002.
9. I. T. Foster. Globus Toolkit Version 4: Software for Service-Oriented Systems. Journal of Computer Science and Technology, 21(4):513-520, July 2006.
10. J. Frey, T. Tannenbaum, M. Livny, I. Foster, and S. Tuecke. Condor-g: A computation management agent for multiinstitutional grids. Cluster Computing, 5:237-246, July 2002.
11. R. Gibbons. A historical application profiler for use by parallel schedulers. In In Job Scheduling Strategies for Parallel Processing, pages 58-77. Springer Verlag, 1997. (Pubitemid 127119057)
12. T. Goodale, S. Jha, H. Kaiser, T. Kielmann, P. Kleijer, G. V. Laszewski, C. Lee, A. Merzky, H. Rajic, and J. Shalf. SAGA: A Simple API for Grid Applications. High-level application programming on the Grid. In Computational Methods in Science and Technology, page 2006.
13. R. L. Henderson and D. Tweten. Portable batch system: Requirement specification. Technical report, NAS Systems Division, NASA Ames Research Center, 1998.
14. S. hui Chiang, A. Arpaci-dusseau, and M. K. Vernon. The impact of more accurate requested runtimes on production job scheduling performance. In In Job Scheduling Strategies for Parallel Processing, pages 103-127. Springer Verlag, 2002.
15. IBM Blue Gene team. Overview of the IBM Blue Gene/P project. IBM J. Research and Development, 52(1/2), 2008.
16. A. Inc. Amazon Elastic Compute Cloud (Amazon EC2). Amazon Inc., http://aws.amazon.com/ec2/#pricing, 2008.
17. M. Litzkow, M. Livny, and M. Mutka. Condor - A hunter of idle workstations. In Proc. International Conference of Distributed Computing Systems, 1988.
18. A. Luckow, L. Lacinski, and S. Jha. SAGA BigJob: An extensible and interoperable pilot-job abstraction for distributed applications and systems. In Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, CCGRID '10, pages 135-144, Washington, DC, USA, 2010. IEEE Computer Society.
19. A.W. Mu'alem and D. G. Feitelson. Utilization, predictability, workloads, and user runtime estimates in scheduling the ibm sp2 with backfilling. IEEE Trans. Parallel Distrib. Syst., 12:529-543, June 2001. (Pubitemid 32611060)
20. NSF. Award abstract#091081 - FutureGrid: An experimental, high-performance grid test-bed, 2009.
21. OpenSSH web site. http://www.openssh.com.
22. I. Raicu, Y. Zhao, C. Dumitrescu, I. Foster, and M. Wilde. Falkon: A Fast and Light-weight tasK executiON framework. In Proc SC'07, 2007.
23. Sun Grid Engine web site. http://gridengine.sunsource.net.
24. S. Srinivasan, R. Kettimuthu, V. Subramani, and P. Sadayappan. Selective reservation strategies for backfill job scheduling. In D. Feitelson, L. Rudolph, and U. Schwiegelshohn, editors, Job Scheduling Strategies for Parallel Processing, volume 2537 of Lecture Notes in Computer Science, pages 55-71. Springer Berlin / Heidelberg, 2002.
25. R. M. Stallman. What does that server really serve? Boston Review, 2010.
26. Sun Constellation system. http://en.wikipedia.org/wiki/Sun-Constellation- System.
27. T. Tannenbaum, D. Wright, K. Miller, and M. Livny. Condor - a distributed job scheduler. In T. Sterling, editor, Beowulf Cluster Computing with Linux. MIT Press, October 2001.
28. D. Thain, T. Tannenbaum, and M. Livny. Distributed computing in practice: The Condor experience. Concurrency and Computation: Practice and Experience, 17(2-4), 2005.
29. D. Tsafrir, Y. Etsion, and D. G. Feitelson. Modeling user runtime estimates. In In 11th Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP 2005, pages 1-35. Springer-Verlag, 2005.
30. A. Tsaregorodtsev, V. Garonne, and I. Stokes-Rees. DIRAC: A scalable lightweight architecture for high throughput computing. In Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing, GRID '04, pages 19-25, Washington, DC, USA, 2004. IEEE Computer Society.
31. G. von Laszewski, J. Gawor, P. Lane, N. Rehn, M. Russell, and K. Jackson. Features of the Java Commodity Grid Kit. Concurrency and Computation: Practice and Experience, 14(13-15), 2002.
32. M. Wilde, M. Hategan, J. M. Wozniak, B. Clifford, D. S. Katz, and I. Foster. Swift: A language for distributed parallel scripting. Parallel Computing, In Press, published online, 2011.
33. D. Zotkin and P. J. Keleher. Job-length estimation and performance in backfilling schedulers. In Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing, HPDC '99, pages 39-, Washington, DC, USA, 1999. IEEE Computer Society.