Scheduling of a meta-task with QoS requirements in heterogeneous computing systems

Journal of Parallel and Distributed Computing

Volumn 66, Issue 2, 2006, Pages 181-196

  Doǧan, Atakan ^a   Özgüner, Füsun ^b  

^a ANADOLU UNIVERSITY   (Turkey)

^b The Ohio State University   (United States)

Author keywords

Heterogeneous computing; Heuristic algorithms; QoS based scheduling; Quality of service; Utility functions

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; FUNCTIONS; PROBLEM SOLVING; QUALITY OF SERVICE; SCHEDULING;

HETEROGENEOUS COMPUTING; HEURITIC ALGORITHM; QOS-BASED SCHEDULING; UTILITY FUNCTION;

DISTRIBUTED COMPUTER SYSTEMS;

EID: 30644465873     PISSN: 07437315     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jpdc.2005.07.004     Document Type: Article

References (41)

1. R.J.A. Ali, et al., Analysis and provision of QoS for distributed grid applications, J. Grid Comput. 2 (2) (2004) 163-182.
2. S. Ali, H.J. Siegel, M. Maheswaran, D. Hensgen, S. Ali, Task execution time modeling for heterogeneous computing systems, in: Heterogeneous Computing Workshop, Cancún, Mexico, May 2000, pp. 185-199.
3. Y. Amir, B. Awerbuch, R.S. Borgstrom, A cost-benefit framework for online management of a metacomputing system, in: International Conference on Information and Computational Economies, October 1998, pp. 140-147.
4. M. Baker, R. Buyya, and D. Laforenza Grids and grid technologies for wide-area distributed computing Internat. J. Software Practice Exp. 32 December 2002 1437 1466
5. T.D. Braun, et al., A comparison study of static mapping heuristics for a class of meta-tasks on heterogeneous computing systems, in: Heterogeneous Computing Workshop, San Juan, Puerto Rico, April 1999, pp. 15-29.
6. T.D. Braun, H.J. Siegel, A. Maciejewski, Static mapping heuristics for tasks with dependencies, priorities, deadlines, and multiple versions in heterogeneous environments, in: International Parallel and Distributed Processing Symposium, Fort Lauderdale, FL, April 2002.
7. R. Buyya, D. Abramson, J. Giddy, A case for economy grid architecture for service-oriented grid computing, in: Heterogeneous Computing Workshop, San Francisco, CA, April 2001.
8. R. Buyya, D. Abramson, J. Giddy, and H. Stockinger Economic models for resource management and scheduling in grid computing Concurrency Comput. Practice Exp. 14 13-15 2002 1507 1542
9. A. Caprara, H. Kellerer, U. Pferschy, and D. Pisinger Approximation algorithms for knapsack problems with cardinality constraints Europ. J. Oper. Res. 123 2000 333 345
10. S. Chatterjee, A quality of service based allocation and routing algorithm for distributed, heterogeneous real time systems, in: International Conference on Distributed Computing Systems, Baltimore, MD, May 1997, pp. 235-243.
11. S. Chatterjee, J. Sydir, B. Sabata, T. Lawrence, Modeling applications for adaptive QoS-based resource management, in: Proceedings of the Second IEEE High Assurance Systems Engineering Workshop, August 1997.
12. R. Cocchi, S. Shenker, D. Estrin, and L. Zhang Pricing in computer networks motivation, formulation, and example IEEE/ACM Trans. Networking 6 December 1993 614 627
13. A. Doǧan, F. Özgüner, Scheduling independent tasks with QoS requirements in grid computing with time-varying resource pricing, Lecture Notes in Computer Science, vol. 2536, Springer, Berlin, 2002, pp. 58-69.
14. M.M. Eshagian Heterogeneous Computing 1996 Artech House Norwood, MA
15. I. Foster, and C. Kesselman Globus a metacomputing infrastructure toolkit Internat. J. Supercomput. Appl. 11 2 1997 115 128
16. I. Foster, C. Kesselman, and S. Tuecke The anatomy of the grid enabling scalable virtual organizations Internat. J. Supercomput. Appl. 15 3 2001 3 23
17. J. Frey, T. Tannenbaum, I. Foster, M. Livny, and S. Tuecke Condor-G a computation management agent for multi-institutional grids Cluster Comput. 5 3 2002 237 246
18. K.S. Golconda, F. Özgüner, A. Doǧan, A comparison of static QoS-based scheduling heuristics for a meta-task with multiple QoS dimensions in heterogeneous computing, in: Heterogeneous Computing Workshop, Santa Fe, NM, April 2004.
19. B. Hamidzadeh, and Y. Atif Dynamic scheduling of real-time tasks, by assignment IEEE Concurrency Parallel Distrib. Mobile Comput. 6 1998 14 25
20. D.A. Hensgen, et al., An overview of MSHN: the management system for heterogeneous networks, in: Heterogeneous Computing Workshop, San Juan, Puerto Rico, 1999, pp. 184-198.
21. C. Irvine, T. Levin, Toward a taxonomy and costing method for security services, in: 15th Annual Computer Security Applications Conference, December 1999.
22. M.A. Iverson, Dynamic mapping and scheduling algorithms for a multi-user heterogeneous computing environment, Ph.D. Thesis, The Ohio State University, Columbus, Ohio, 1999.
23. M.A. Iverson, F. Özgüner, and L. Potter Statistical prediction of task execution times through analytic benchmarking for scheduling in a heterogeneous environment IEEE Trans. Comput. 48 December 1999 1374 1379
24. K. Keahey, et al., Grids for experimental science: the virtual control room, in: International Workshop on Challenges of Large Applications in Distributed Environments, Honolulu, HI, June 2004.
25. J.-K. Kim, et al., A QoS performance measure framework for distributed heterogeneous networks, in: Proceedings of the Eighth Euromicro Workshop on Parallel and Distributed Processing, Rhodos, Greece, January 2000, pp. 18-27.
26. J.-K. Kim, et al., Dynamic mapping in heterogeneous environment with task having priorities and multiple deadlines, in: Heterogeneous Computing Workshop, Nice, France, April 2003.
27. Y.A. Korilis, A. Orda, Incentive compatible pricing strategies for QoS routing, in: IEEE INFOCOM, New York, NY, March 1999, pp. 891-899.
28. K. Krauter, R. Buyya, and M. Maheswaran A taxonomy and survey of grid resource management systems for distributed computing Internat. J. Software Practice Exp. 32 February 2002 135 164
29. Y.-K. Kwok, and I. Ahmad Dynamic critical-path scheduling an effective technique for allocating task graphs to multiprocessors IEEE Trans. Parallel Distrib. Systems 7 May 1996 506 521
30. Y.-K. Kwok, and I. Ahmad Static scheduling algorithms for allocating directed task graphs to multiprocessors ACM Comput. Surveys 31 December 1999 406 471
31. C. Lee, J. Lehoczky, D. Siewiorek, R. Rajkumar, J. Hansen, A scalable solution to the multi-resource QoS-problem, in: IEEE Real-Time Systems Symposium, Phoenix, AZ, December 1999, pp. 315-326.
32. M. Maheswaran, Quality of service driven resource management algorithms for network computing, in: International Conference on Parallel and Distributed Processing Techniques and Applications, June 1999, pp. 1090-1096.
33. M. Maheswaran, S. Ali, H.J. Seigel, D. Hensgen, R.F. Freund, Dynamic matching and scheduling of a class of independent tasks onto heterogeneous computing systems, in: Heterogeneous Computing Workshop, San Juan, Puerto Rico, April 1999, pp. 30-44.
34. B. Sabata, S. Chatterjee, M. Davis, J. Sydir, T. Lawrence, Taxonomy for QoS specifications, in: Proceedings of WORDS, Newport Beach, CA, February 1997, pp. 100-107.
35. J. Sairamesh, J.O. Kephart, Price dynamics of vertically differentiated information markets, in: International Conference on Information and Computational Economy, October 1998.
36. N. Semret, R.R.-F. Liao, A.T. Campbell, A.A. Lazar, Market pricing of differentiated internet services, Technical Report CU/CTR/TR 503-98-37, Columbia University, December 1998.
37. H.J. Siegel, and S. Ali Techniques for mapping tasks to machines in heterogeneous computing systems EUROMICRO J. System Archit. Special Issue on Heterogeneous Distrib. Parallel Archit. Software Design Tools 46 8 2000 627 639
38. W.E. Walsh, M.P. Wellman, P.R. Wurman, J.K. MacKie-Mason, Some economics of market-based distributed scheduling, in: International Conference on Distributed Computing Systems, Amsterdam, Netherlands, May 1998, pp. 612-621.
39. R. Wolski, J.S. Plank, T. Bryan, J. Brevik, G-commerce: market formulations controlling resource allocation on the computational grid, in: International Parallel and Distributed Processing Symposium, San Francisco, CA, April 2001.
40. M.-Y. Wu, W. Shu, H. Zhang, Segmented min-min: a static mapping algorithm for meta-tasks on heterogeneous computing systems, in: Heterogeneous Computing Workshop, Cancún, Mexico, May 2000, pp. 375-385.
41. J. Yang, A. Khokhar, S. Sheikh, A. Ghafoor, Estimating execution time for parallel tasks in heterogeneous processing (HP) environment, in: Heterogeneous Computing Workshop, Cancún, Mexico, April 1994, pp. 23-28.