International Journal of Soft Computing

Year: 2013
Volume: 8
Issue: 1
Page No. 63 - 71

IBCO Based Task Scheduling for E-Learning Environments in Grid

Authors : A.C. Kaladevi and M.V. Srinath

References

Anderson, D.P., 2004. BOINC: A system for public-resource computing and storage. Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing, November 8, 2004, Pittsburgh, USA., pp: 4-10.

Applegate, D. and W. Cook, 1991. A computational study of the job-shop scheduling problem. ORSA J. Comput., 3: 149-156.
Direct Link  |  

Bauer, A., B. Bullnheimer, R.F. Hartl and C. Strauss, 1999. An ant colony optimization, approach for the single machine total tardiness problem. Proceedings of the1999 Congress on Evolutionary Computation, July -6-9, 1999, Washington, DC., USA., pp: 1445-1450.

Bean, J.C., 1994. Genetics and random keys for sequencing and optimization. ORSA J. Comput., 6: 154-160.
Direct Link  |  

Chong, C.S., M.Y.H. Low, A.I. Sivakumar and K.L. Gay, 2006. A bee colony optimization algorithm to job shop scheduling. Proceedings of the Winter Simulation Conference, December 3-6, 2006, Monterey, CA., USA., pp: 1954-1961.

Colorni, A., M. Dorigo, V. Maniezzo and M. Trubian, 1994. Ant system for job-shop scheduling. Belgian J. Operat. Res. Stat. Comput. Sci., 34: 39-53.

Dorigo, M. and G. di Caro, 1999. The Ant Colony Optimization Metaheuristic. In: New Ideas in Optimization, Corne, D., M. Dorigo and F. Glover (Eds.). McGraw-Hill, New York, USA., pp: 11-32.

Dorigo, M., V. Maniezzo and A. Colorni, 1996. Ant system: Optimization by a colony of cooperating agents. IEEE Trans. Syst. Man Cybern. Part B: Cybern., 26: 29-41.
CrossRef  |  Direct Link  |  

Ilavarasan, E. and P. Thambidurai, 2007. Low complexity performance effective task scheduling algorithm for heterogeneous computing environments. J. Comput. Sci., 3: 94-103.
Direct Link  |  

Jin, C. and R. Buyya, 2003. A dataflow system with a local optima-based scheduling for enterprise grids. The University of Melbourne, Australia, pp: 1-15.

Jin, C., R. Buyya, L. Stein and Z. Zhang, 2007. A dataflow model for.NET-based grid computing systems. Proceedings of the 3rd International Workshop on Grid Computing and Applications, June 6-7, 2007, World Scientific Publishing Co., USA., pp: 25-37.

Lee, L.T., H.Y. Chang, K.Y. Liu, G.M. Chang, C.C. Lien, 2006. A dynamic scheduling algorithm in heterogeneous computing environments. Proceedings of the International Symposium on Communications and Information Technologies, October 18-September 20, 2006, Bangkok, pp: 313-318.

Nowicki, E. and C. Smutnicki, 1996. A fast taboo search algorithm for the job shop problem. Manage. Sci., 42: 797-813.
Direct Link  |  

Ombuki, B. and M. Ventresca, 2004. Local search genetic algorithms for the job shop scheduling problem. Applied Intell., 21: 99-109.
CrossRef  |  

Quezada-Pina, A., A. Tchernykh, J.L. Gonzalez-Garcia, A. Hirales-Carbajal and J.M. Ramirez-Alcaraz et al., 2012. Adaptive parallel job scheduling with resource admissible allocation on two-level hierarchical grids. Future Gener. Comput. Syst., 28: 965-976.
CrossRef  |  Direct Link  |  

Sutton, R.S. and A.G. Barto, 1998. Reinforcement Learning: An Introduction. MIT Press, Cambridge.

Tang, X., K. Li, M. Qiu and E.H.M. Sha, 2012. A hierarchical reliability-driven scheduling algorithm in grid systems. J. Parallel Distrib. Comput., 72: 525-535.
CrossRef  |  

Vengerov, D., 2007. A reinforcement learning approach of dynamic resource allocation. Eng. Appl. Artif. Intell., 20: 383-390.
CrossRef  |  

Wu, J., X. Xu, P. Zhang and C. Liu, 2011. A novel multi-agent reinforcement learning approach for job scheduling in grid computing. Future Gener. Comput. Syst., 27: 430-439.
CrossRef  |  

Zhang, C.J., V. Lesser and P. Shenoy, 2009. A multi-agent learning approach to online distributed resource allocation. Proceedings of the 21st International Joint Conferences on Artificial Intelligence, Volume 1, July 11-17, 2009, Pasadena, California, USA., pp: 361-366.

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved