An ant colony optimization approach to a grid workflow scheduling problem with various QoS requirements

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

Volumn 39, Issue 1, 2009, Pages 29-43

  Chen, Wei Neng ^a   Zhang, Jun ^a  

^a SUN YAT SEN UNIVERSITY   (China)

Author keywords

Ant colony optimization (ACO); Grid computing; Workflow scheduling

Indexed keywords

ALGORITHMS; APPLICATIONS; DISTRIBUTED COMPUTER SYSTEMS; HEURISTIC METHODS; MANAGEMENT; MESH GENERATION; OPTIMIZATION; QUALITY OF SERVICE; SCHEDULING; SCHEDULING ALGORITHMS;

ANT COLONY OPTIMIZATION (ACO); GRID ENVIRONMENTS; PHEROMONE VALUES; QOS CONSTRAINTS; QOS REQUIREMENTS; QUALITY OF SERVICE (QOS) PARAMETERS; WORK-FLOWS; WORKFLOW APPLICATIONS; WORKFLOW SCHEDULING;

GRID COMPUTING;

EID: 58649085246     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCC.2008.2001722     Document Type: Article

References (38)

1. R. Buyya, D. Abramson, and J. Giddy, "A case for economy grid architecture for service oriented grid computing:" presented at the 10th Heterogeneous Comput. Workshop (HCW' 2001), San Francisco, CA, Apr.
2. F. Neubauer, A. Hoheisel, and J. Geiler, "Workflow-based grid applications," Future Gen. Comput. Syst., vol. 22, pp. 6-15, 2006.
3. I. Foster and C. Kesselman, The Grid: Blueprint for a Future Computing Infrastructure. San Mateo, CA: Morgan Kaufmann, 1999.
4. D. Kyriazis et al., "An innovative workflow mapping mechanism for grids in the frame of quality of service," Future Gen. Comput. Syst. to be published.
5. R. Prodan and T. Fahringer, "Overhead analysis of scientific workflows in grid environments," IEEE Trans. Parallel Distrib. Syst., to be published.
6. Z. Shi and J. J. Dongarra, "Scheduling workflow applications on processors with different capabilities," Future Gen. Comput. Syst. vol. 22, pp. 665-675, 2006.
7. M. R. Garey and D. S. Johnson, Computers and Intractability: A Guide to the Theory of NP-Completeness. New York: Freeman, 1979.
8. T. D. Braun et al., "A comparison eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems," J. Parallel Distrib. Comput., vol. 61, pp. 810-837, 2001.
9. H. XiaoShan and S. XiaoHe, "QoS guided min-min heuristic for grid task scheduling," J. Comput. Sci. Technol., vol. 18, no. 4, pp. 442-451, 2003.
10. A. Mandal et al., "Scheduling strategies for mapping application workflows onto the grid," in Proc. 14th IEEE Int. Symp. High Perform. Distrib. Comput. (HPDC-14), 2005, pp. 125-134.
11. M. Maheswaran et al., "Dynamic mapping of a class of independent tasks onto heterogeneous computing systems," J. Parallel Distrib. Comput., vol. 59, pp. 107-131, 1999.
12. M. M. López, E. Heymann, and M. A. Senar, "Analysis of dynamic heuristics for workflow scheduling on grid systems," in Proc. 5th Int. Symp. Parallel Distrib. Comput. (ISPDC'06), IEEE, Jul., pp. 199-207.
13. H. Topcuoglu, S. Hariri, and M.-Y. Wu, "Performance-effective and low-complexity task scheduling for heterogeneous computing," IEEE Trans. Parallel Distrib. Syst., vol. 13, no. 3, pp. 260-274, Mar. 2002.
14. L. Wang, H. J. Siegel, V. P. Roychowdhury, and A. A. Maciejewski, "Task matching and scheduling in heterogeneous computing environments using a genetic-algorithm-based approach," J. Parallel Distrib. Comput., vol. 47, pp. 8-22, 1997.
15. V. D. Martino and M. Mililotti, "Scheduling in a grid computing environment using genetic algorithms," in Proc. Int. Parallel Distrib. Process. Symp. (IPDPS'02), IEEE, pp. 235-239.
16. J.-K. Kim, et al., "Dynamically mapping tasks with priorities and multiple deadlines in a heterogeneous environment," J. Parallel Distrib. Comput., vol. 67, pp. 154-169, 2007.
17. S. Zheng, W. Shu, and L. Gao, "Fask scheduling using parallel genetic simulated annealing algorithm," in Proc. IEEE Int. Conf. Service Operations Logist. (SOLI'06), pp. 46-50.
18. I. Foster, C. Kesselman, J. M. Nick, and S. Tuecke, "The physiology of the grid - An open grid services architecture for distributed systems integration," Open Grid Service Infrastructure WG, Global Grid Forum, Lemont, IL Tech. Rep., Jun. 2002.
19. A. Afzal, A. S. McGough, and J. Darlington, "Capacity planning and scheduling in grid computing environments," Future Gen. Comput. Syst., to be published.
20. R. Buyya, D. Abramson, and S. Venugopal, "The grid economic," Proc. IEEE, vol. 93, no. 3, pp. 698-714, Mar. 2005.
21. J. Cardoso, A. Sheth, J. Miller, J. Arnold, and K. Kochut, "Quality of service for workflows and web service processes," J. Web Semantics vol. 1, pp. 281-308, 2004.
22. D. Abramson, R. Buyya, and J. Giddy, "A computational economy for grid computing and its implementation in the Nimrod-G resource broker," Future Gen. Comput. Syst., vol. 18, pp. 1061-1074, 2002.
23. R. Buyya, D. Abramson, and J. Giddy, "Nimrod/G: An architecture for a resource management and scheduling system in a global computational grid," in Proc. 4th Int. Conf. High-Perform. Comput. Asia-Pacific Region, 2000, vol. 1, pp. 283-289.
24. Y. Yuan, X. Li, and Q. Wang, "Time-cost trade-off dynamic scheduling algorithm for workflows in grids," in Proc. l0th Int. Conf. Comput. Supported Coop. Work Des., Nanjing, China, May 2006, pp. 1-6.
25. R. Buyya and C. K. Tham, "Cost based scheduling of scientific workflow applications on utility grids," in Proc. Ist Int. Conf. e-Sci. Grid Comput. (e-Sci.'05), pp. 140-147.
26. A. Afzal, J. Darlington, and A. S. McGough, "QoS-constrained stochastic workflow scheduling in enterprise and scientific grids," Proc. 7th IEEE/ACM Int. Conf. Grid Comput., 2006, pp. 1-8.
27. L. Chunlin and L. Layuan, "QoS based resource scheduling by computational economy in computational grid," Inf. Process. Lett. vol. 98, pp. 119-126, 2006.
28. A. Colorni, M. Dorigo, and V. Maniezzo, "Distributed optimization by ant colonies," in Proc. ECAL91 - Eur. Conf. Artif. Life, New York: Elsevier, 1991, pp. 134-142.
29. M. Dorigo, V. Maniezzo, and A. Colomi, "Ant system: Optimization by a colony of cooperating agents," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 26, no. 1, pp. 29-41, Feb. 1996.
30. T. Stützle and H. Hoos, "MAX-MIN ant system and local search for the traveling salesman problem," in Proc. 1997 IEEE Int. Conf. Evol. Comput. (ICEC'97), Piscataway, NJ: IEEE Press, pp. 309-314.
31. M. Dorigo and L. M. Gambardella, "Ant colony system: A cooperative learning approach to TSR," IEEE Trans. Evol. Comput., vol. 1, no. 1, pp. 53-66, Apr. 1997.
32. M. Dorigo and T. Stützle, Ant Colony Optimization. Cambridge, MA: MIT Press, 2004.
33. D. Merkle, M. Middendorf, and H. Schmeck, "Ant colony optimization for resource-constrained project scheduling," IEEE Trans. Evol. Comput. vol. 6, no. 4, pp. 333-346, Aug. 2002.
34. E. Deelman, et al., "Mapping abstract complex workflows onto grid environments," J. Grid Comput., vol. 1, pp. 25-39, 2003.
35. J. Yu, S. Venugopal, and R. Buyya, "Grid market directory: A web services based grid service publication directory," Grid Comput. Distrib. Syst. Lab. Univ. Melbourne Vic., Australia Tech. Rep., 2003.
36. Y. Zhao et al., "Grid middleware services for virtual data discovery Composition, and integration," in Proc. 2nd Workshop Middleware Grid Comput., Toronto, ON, Canada, Oct. 18, 2004, pp. 57-62.
37. A. O'Brien, S. Newhouse, and J. Darlington, "Mapping of scientific workflow within the e-protein project to distributed resources," in UK e-Sci. All Hands Meet., Nottingham, U.K., Sep.2004, pp. 404-409.
38. R. Kolisch and A. Sprecher, "PSPLIB - A project scheduling problem library: OR Software - ORSEP operations research software exchange program," Eur. J. Oper. Res., vol. 96, no. 1, pp. 205-216, 1997.