A system-centric scheduling policy for optimizing objectives of application and resource in grid computing

Computers and Industrial Engineering

Volumn 57, Issue 3, 2009, Pages 1052-1061

  Chunlin, Li ^a   Layuan, Li ^a  

^a WUHAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Grid computing; Simulation; System centric scheduling

Indexed keywords

APPLICATION-CENTRIC; GRID APPLICATIONS; GRID RESOURCE; GRID USERS; JOINT OPTIMIZATION; RESOURCE PROVIDERS; RESOURCE UTILIZATIONS; SCHEDULING BENEFITS; SCHEDULING POLICIES; SIMULATION; SYSTEM-CENTRIC SCHEDULING; UTILITY FUNCTIONS;

COMPUTER SCIENCE; COMPUTER SYSTEM FIREWALLS; GRID COMPUTING; OPTIMIZATION;

SCHEDULING ALGORITHMS;

EID: 69649093608     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cie.2009.04.007     Document Type: Article

References (25)

1. Al-Ali, R., ShaikhAli, A., Rana, O., Walker, D. (2003). Supporting QoS-based discovery in service-oriented grids. In Proceedings of IEEE heterogeneous computing workshop (HCW'03), Nice, France, 2003.
2. Al-Ali R., Rana O., Walker D., Jha S., and Sohail S. G-QoSM: Grid service discovery using QoS properties. Computing and Informatics Journal 21 4 (2002) 363-382 [Special Issue on Grid Computing]
3. BRITE. .
4. Buyya, R., Giddy, J., & Abramson, D. (2001). In A case for economy grid architecture for service-oriented grid computing, HCW 2001. In conjunction with IPDPS 2001, San Francisco, California, USA, April 2001.
5. Buyya, R., Murshed, M., & Abramson, D. (2002). In A deadline and budget constrained cost-time optimization algorithm for scheduling task farming applications on global grids, PDPTA'02, June 24-27, 2002, Las Vegas, USA.
6. Dogan, A., & Ozguner, F. (2002). Scheduling independent tasks with QoS requirements in grid computing with time-varying resource prices. In Proceedings of GRID 2002, LNCS (Vol. 2536, pp. 58-69). Springer-Verlag.
7. Dong, F., & Akl, Selim G. (2006). Scheduling algorithms for grid computing: State of the art and open problems, January 2006. Technical report, Queen's University School of Computing.
8. Ernemann, C. (2002). Economic scheduling in grid computing. In Proceedings of 8th international workshop job scheduling strategies for parallel processing (pp. 28-152), Lecture notes in computer science, UK, July 24, 2002.
9. Foster I., Fidler M., Roy A., Sander V., and Winkler L. End-to-end quality of service for high-end applications. Elsevier Computer Communications Journal 27 14 (2004) 1375-1388
10. Ghosh, S., Rajkumar, R., Hansen, J., & Lehoczky, J. (2004). Integrated resource management and scheduling with multi-resource constraints. In Proceedings of 25th IEEE real-time systems symposium, 2004.
11. Ghosh, S., Rajkumar, R., Hansen, J., & Lehoczky, J. (2003). Scalable resource allocation for multi-processor QoS optimization. In Proceedings of 23rd international conference on distributed computing systems, May, 2003 (pp. 174-183).
12. Golconda, Kavitha S., & Ozguner, F. (2004). A comparison of static QoS-based scheduling heuristics for a meta-task with multiple QoS dimensions in heterogeneous computing, IPDPS'04.
13. Gomoluch, J., & Schroeder, M. (2003). Market-based resource allocation for grid computing: A model and simulation. In 1st International workshop on middleware for grid computing (MGC2003), Rio de Janeiro, Brazil, June.
14. He X.S., Sun X.H., and Laszewski G.V. QoS guided min-min heuristic for grid task scheduling. Journal of Computer Science & Technology 18 4 (2003) 442-451
15. JAVASIM. .
16. Lee, C., Lehoczky, J., Siewiorek, D., Rajkumar, R., & Hansen, J. (1999a). A scalable solution to the multi-resource QoS problem. In 20th IEEE real-time systems symposium, December 1999.
17. Lee, C., Lehoczky, J., Siewiorek, D., Rajkumar, R., & Hansen, J. (1999b). On quality of service optimization with discrete QoS options. In Proceedings of the IEEE real-time technology and applications symposium, June 1999.
18. Li C., and Li L. Competitive proportional resource allocation policy for computational grid. Future Generation Computer Systems 20 6 (2004) 1041-1054
19. Li C., and Li L. Agent framework to support computational grid. Journal of Systems and Software 70 1-2 (2004) 177-187
20. Li C., and Li L. A distributed utility-based two level market solution for optimal resource scheduling in computational grid. Parallel Computing 31 3-4 (2005) 332-351
21. Li C., and Li L. Multi economic agent interaction for optimizing the aggregate utility of grid users in computational grid. Applied Intelligence 25 2 (2006) 147-158
22. Li C., and Li L. Joint QoS optimization for layered computational grid. Information Sciences 177 15 (2007) 3038-3059
23. Li C., and Li L. Utility based QoS optimisation strategy for multi-criteria scheduling on the grid. Journal of Parallel and Distributed Computing 67 2 (2007) 142-153
24. Su Nam, D., Youn, C. (2004). QoS-constrained resource allocation for a grid-based multiple source electrocardiogram application. In ICCSA 2004, LNCS (Vol. 3043, pp. 352-359).
25. Wolski R., Plank J., and Brevik J. Analyzing market-based resource allocation strategies for the computational grid. International Journal of High-performance Computing Applications 15 3 (2001) 258-281