Robust static allocation of resources for independent tasks under makespan and dollar cost constraints

Journal of Parallel and Distributed Computing

Volumn 67, Issue 4, 2007, Pages 400-416

  Sugavanam, Prasanna ^a   Siegel, H J ^a,b   Maciejewski, Anthony A ^a   Oltikar, Mohana ^a   Mehta, Ashish ^a   Pichel, Ron ^c   Horiuchi, Aaron ^c   Shestak, Vladimir ^a   Al Otaibi, Mohammad ^a   Krishnamurthy, Yogish ^a   Ali, Syed ^a   Zhang, Junxing ^d   Aydin, Mahir ^a   Lee, Panho ^a   Guru, Kumara ^a   Raskey, Michael ^c   Pippin, Alan ^c  

^a Engineering Research Center and Hydraulics Laboratory   (United States)

^b Colorado State University   (United States)

^c HEWLETT PACKARD COMPANY   (United States)

^d Department of Electrical and Computer Engineering   (United States)

Author keywords

Cost constraint; Heterogeneous computing; Makespan; Resource allocation; Robustness

Indexed keywords

COMPUTATIONAL METHODS; CONSTRAINT THEORY; HEURISTIC METHODS; OPTIMIZATION; PARAMETER ESTIMATION; ROBUSTNESS (CONTROL SYSTEMS);

COST CONSTRAINT; HETEROGENEOUS COMPUTING; MAKESPAN;

RESOURCE ALLOCATION;

EID: 33947302575     PISSN: 07437315     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jpdc.2005.12.006     Document Type: Article

References (49)

1. S. Ali, T.D. Braun, H.J. Siegel, A.A. Maciejewski, N. Beck, L. Boloni, M. Maheswaran, A.I. Reuther, J.P. Robertson, M.D. Theys, B. Yao, Characterizing resource allocation heuristics for heterogeneous computing systems, in: A.R. Hurson (Ed.), Advances in Computers, vol. 63: Parallel, Distributed, and Pervasive Computing, Elsevier, Amsterdam, The Netherlands, 2005, pp. 91-128.
2. Ali S., Kim J.-K., Siegel H.J., Maciejewski A.A., Yu Y., Gundala S.B., Gertphol S., and Prasanna V. Utilization-based techniques for statically mapping heterogeneous applications onto the HiPer-D heterogeneous computing system. Parallel and Distributed Computing Practices, Special Issue on Parallel Numeric Algorithms on Faster Computers vol. 5 4 (December 2002)
3. Ali S., Maciejewski A.A., Siegel H.J., and Kim J.-K. Measuring the robustness of a resource allocation. IEEE Trans. Parallel Distrib. Systems 15 7 (July 2004) 630-641
4. S. Ali, A.A. Maciejewski, H.J. Siegel, J.-K. Kim, Robust resource allocation for sensor-actuator distributed computing systems, in: The 2004 International Conference on Parallel Processing (ICPP 2004), August 2004, pp. 174-185.
5. Ali S., Siegel H.J., Maheswaran M., Hensgen D., and Ali S. Representing task and machine heterogeneities for heterogeneous computing systems, Special 50th Anniversary Issue. Tamkang J. Sci. Eng. 3 3 (November 2000) 195-207 (invited)
6. S. Areibi, M. Moussa, H. Abdullah, A comparison of genetic/memetic algorithms and heuristic searching, in: International Conference on Artificial Intelligence (IC-AI 2001), June 2001.
7. H. Barada, S.M. Sait, N. Baig, Task matching and scheduling in heterogeneous systems using simulated evolution, in: 10th IEEE Heterogeneous Computing Workshop (HCW 2001), in the Proceedings of the 15th International Parallel and Distributed Processing Symposium (IPDPS 2001), April 2001.
8. I. Banicescu, V. Velusamy, Performance of scheduling scientific applications with adaptive weighted factoring, in: 10th IEEE Heterogeneous Computing Workshop (HCW 2001), in the Proceedings of the 15th International Parallel and Distributed Processing Symposium (IPDPS 2001), April 2001.
9. Bölöni L., and Marinescu D.C. Robust scheduling of metaprograms. J. Scheduling 5 5 (September 2002) 395-412
10. T.D. Braun, H.J. Siegel, A.A. Maciejewski, Heterogeneous computing: goals, methods, and open problems, in: 2001 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2001), June 2001, pp. 1-12 (invited keynote paper).
11. Braun T.D., Siegel H.J., Beck N., Boloni L., Freund R.F., Hensgen D., Maheswaran M., Reuther A.I., Robertson J.P., Theys M.D., and Yao B. A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems. J. Parallel Distrib. Comput. 61 6 (June 2001) 810-837
12. E.G. Coffman Jr., (Ed.), Computer and Job-Shop Scheduling Theory, Wiley, New York, 1976.
13. Daniels R.L., and Carrilo J.E. ß-Robust scheduling for single-machine systems with uncertain processing times. IIE Trans. 29 11 (November 1997) 977-985
14. A.J. Davenport, C. Gefflot, J.C. Beck, Slack-based techniques for robust schedules, in: Sixth European Conference on Planning, September 2001, pp. 7-18.
15. Dick R.P., and Jha N.K. MOGAC: a multiobjective genetic algorithm for the co-synthesis of hardware-software embedded systems. IEEE Trans. Comput.-Aided Design 17 10 (October 1998) 920-935
16. Dorn J., Girsch M., Skele G., and Slany W. Comparison of iterative improvement techniques for schedule optimization. European J. Oper. Res. 94 2 (October 1996) 349-361
17. Dorn J., Kerr R.M., and Thalhammer G. Reactive scheduling: improving the robustness of schedules and restricting the effects of shop floor disturbances by fuzzy reasoning. Internat. J. Human-Comput. Stud. 42 6 (June 1995) 687-704
18. M.M. Eshaghian (Ed.), Heterogeneous Computing, Artech House, Norwood, MA, 1996.
19. Fernandez-Baca D. Allocating modules to processors in a distributed system. IEEE Trans. Software Eng. SE-15 11 (November 1989) 1427-1436
20. I. Foster, C. Kesselman (Eds.), The Grid: Blueprint for a New Computing Infrastructure, Morgan Kaufmann, San Fransisco, CA, 1999.
21. Freund R.F., and Siegel H.J. Heterogeneous processing. IEEE Comput. 26 6 (June 1993) 13-17
22. Ghafoor A., and Yang J. A distributed heterogeneous supercomputing management system. IEEE Comput. 26 6 (June 1993) 78-86
23. Ibarra O.H., and Kim C.E. Heuristic algorithms for scheduling independent tasks on non-identical processors. J. ACM. 24 2 (April 1977) 280-289
24. Jain R. The Art of Computer Systems Performance Analysis Techniques for Experimental Design, Measurement, Simulation, and Modeling (1991), Wiley, New York
25. Kafil M., and Ahmad I. Optimal task assignment in heterogeneous distributed computing systems. IEEE Concurrency 6 3 (July 1998) 42-51
26. Khokhar A., Prasanna V.K., Shaaban M.E., and Wang C. Heterogeneous computing: challenges and opportunities. IEEE Comput. 26 6 (June 1993) 18-27
27. Kouvelis P., Daniels R., and Vairaktarakis G. Robust scheduling of a two-machine flow shop with uncertain processing times. IIE Trans. 38 5 (May 2000) 421-432
28. Kouvelis P., and Yu G. Robust Discrete Optimization and its Applications (1997), Kluwer Academic Publisher, Dordrecht
29. S.M. Kroumba, G. Bois, Y. Savaria, A synthesis approach for the generation of parallel architectures, in: 37th Midwest Symposium on Circuits and Systems, vol. 1, 3-5 August 1994, pp. 323-326.
30. Y.-K. Kwok, A.A. Maciejewski, H.J. Siegel, I. Ahmad, A. Ghafoor, A semi-static approach to mapping dynamic iterative tasks onto heterogeneous computing systems, J. Parallel Distrib. Comput. 66 (1) (January 2006) 77-98.
31. D. Levi, Hereboy: a fast evolutionary algorithm, in: Second NASA/DoD Workshop on Evolvable Hardware (EH '00), July 2000, pp. 17-24.
32. Leon V.J., Wu S.D., and Storer R.H. Robustness measures and robust scheduling for job shops. IIE Trans. 26 5 (September 1994) 32-43
33. Maheswaran M., Ali S., Siegel H.J., Hensgen D., and Freund R.F. Dynamic mapping of a class of independent tasks onto heterogeneous computing systems. J. Parallel Distrib. Comput. 59 2 (November 1999) 107-121
34. M. Maheswaran, T.D. Braun, H.J. Siegel, Heterogeneous distributed computing, in: J.G. Webster (Ed.), Encyclopedia of Electrical and Electronics Engineering, vol. 8, Wiley, New York, 1999, pp. 679-690.
35. P. Moscato, On evolution, search, optimization, genetic algorithms, and martial arts: towards memetic algorithms, Technical Report, Caltech Concurrent Computation Program C3P 826, California Institute of Technology, Pasadena, CA, 1989.
36. Onwubolu G.C., and Babu B.V. New Optimization Techniques in Engineering (2004), Springer, New York
37. A. Rae, S. Parameswaran, Application-specific heterogeneous multiprocessor synthesis using differential-evolution, in: 11th International Symposium on System Synthesis, December 1998, pp. 83-88.
38. G. Ritchie, J. Levine, A hybrid ant algorithm for scheduling independent jobs in heterogeneous computing environments, in: Third Workshop of the UK Planning and Scheduling Special Interest Group (PLANSIG 2004), December 2004.
39. M. Sevaux, K. Sörensen, Genetic algorithm for robust schedules, in: Eighth International Workshop on Project Management and Scheduling (PMS 2002), April 2002, pp. 330-333.
40. V. Shestak, E.K.P. Chong, A.A. Maciejewski, H.J. Siegel, L. Benmohamed, I.J. Wang, R. Daley, Resource allocation for periodic applications in a shipboard environment, in: 14th IEEE Heterogeneous Computing Workshop (HCW 2005), in the Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), April 2005, pp. 122-127.
41. Shivle S., Sugavanam P., Siegel H.J., Maciejewski A.A., Banka T., Chindam K., Dussinger S., Kutruff A., Penumarthy P., Pichumani P., Satyasekaran P., Sendek D., Sousa J., Sridharan J., and Velazco J. Mapping of subtasks with multiple versions on an ad hoc grid environment. Parallel Computing, Special Issue on Heterogeneous Computing vol. 31 7 (July 2005) 671-690
42. S. Shivle, H.J. Siegel, A.A. Maciejewski, P. Sugavanam, T. Banka, R. Castain, K. Chindam, S. Dussinger, P. Pichumani, P. Satyasekaran, W. Saylor, D. Sendek, J. Sousa, J. Sridharan, J. Velazco, Static allocation of resources to communicating subtasks in a heterogeneous ad hoc grid environment, Special Issue on Algorithms for Wireless and Ad-hoc Networks, J. Parallel Distrib. Comput. 66 (4) (April 2006) 600-611.
43. Simmons G.F. Calculus with Analytic Geometry. second ed. (1995), McGraw-Hill, New York
44. Sotskov Y.N., Tanaev V.S., and Werner F. Stability radius of an optimal schedule: a survey and recent developments. Industrial Appl. Combinat. Optimiz. 16 (1998) 72-108
45. Stützle T., and Hoos H. Max-min ant system. Future Generation Comput. Syst. 16 8 (2000) 889-914
46. P. Sugavanam, Robust resource allocation of independent tasks and resource allocation for communicating subtasks on ad hoc grids, Masters Thesis, Electrical and Computer Engineering, Colorado State University, 2005.
47. Wang L., Siegel H.J., Roychowdhury V.P., and Maciejewski A.A. Task matching and scheduling in heterogeneous computing environments using a genetic-algorithm-based approach. J. Parallel Distrib. Comput. 47 1 (November 1997) 8-22
48. D. Whitley, The GENITOR algorithm and selective pressure: Why rank based allocation of reproductive trials is best, in: Third International Conference on Genetic Algorithms, June 1989, pp. 116-121.
49. M.-Y. Wu, W. Shu, H. Zhang, Segmented min-min: a static mapping algorithm for meta-tasks on heterogeneous computing systems, in: Nineth IEEE Heterogeneous Computing Workshop (HCW 2000), May 2000, pp. 375-385.