References

Berman, F., G. Fox and A.J.G. Hey, 2003. Grid Computing: Making the Global Infrastructure a Reality. John Wiley and Sons, London, UK., ISBN-13: 9780470853191, Pages: 1012.

Chang, R.S., J.S. Chang and P.S. Lin, 2009. An ant algorithm for balanced job scheduling in grids. Future Generat. Comput. Syst., 25: 20-27.
CrossRef  |  Direct Link  |  

Fidanova, S. and M. Durchova, 2006. Ant algorithm for grid scheduling problem. Proceedings of the 5th International Conference on Large-Scale Scientific Computing, June 6-10, 2005, Sozopol, Bulgaria, pp: 405-412.

Foster, I. and C. Kesselman, 2003. The Grid 2: Blueprint for a New Computing Infrastructure. 2nd Edn., Morgan Kaufmann, UK., ISBN-13: 9780080521534, Pages: 748.

Hu, X.H., J.C. Ouyang, Z.H. Yang and Z.H. Chen, 2009. An IPSO algorithm for grid task scheduling based on satisfaction rate. Proceedings of the International Conference on Intelligent Human-Machine Systems and Cybernetics, August 26-27, 2009, Hangzhou, Zhejiang, China, pp: 262-265.

Kousalya, K. and P. Balasubramanie, 2008. An enhanced ant algorithm for grid scheduling problem. Int. J. Comput. Sci. Network Secur., 8: 262-271.
Direct Link  |  

Kousalya, K. and P. Balasubramanie, 2008. Ant algorithm for grid scheduling powered by local search. Int. J. Open Problems Compt. Math., 1: 222-240.
Direct Link  |  

Parsa, S. and R. Entezari-Maleki, 2009. RASA: A new grid task scheduling algorithm. Int. J. Digital Content Technol. Appli., 3: 152-160.
Direct Link  |  

Schopf, J.M., 2004. Ten Actions when Grid Scheduling: The User as a Grid Scheduler. In: Grid Resource Management: State of the Art and Future Trends, Nabrzyski, J., J.M. Schopf and J. Weglarz (Eds.). Chapter 2, Kluwer Academic Publisher, Norwell, MA., USA., ISBN-13: 9781402075759, pp: 15-24.

Selvarani, S. and G.S. Sadhasivam, 2010. Improved job-grouping based PSO algorithm for task scheduling in grid computing. Int. J. Eng. Sci. Technol., 2: 4687-4695.
Direct Link  |  

Shakerian, R., S.H. Kamali, M. Hedayati and M. Alipour, 2011. Comparative study of ant colony optimization and particle swarm optimization for grid scheduling. J. Math. Comput. Sci., 2: 469-474.
Direct Link  |  

Sim, K.M. and W.H. Sun, 2003. Multiple ant colony optimization for load balancing. Proceedings of the 4th International Conference on Intelligent Data Engineering and Automated Learning, March 21-23, 2003, Hong Kong, China, pp: 467-471.