Abstract
Grid technology and grid computing appear to be potentially the next generation platforms for solving large problems in science and engineering. Grid resource management is a main activity, which largely affects the productivity of the Grid environment. The main problem is how to manage millions of heterogeneous resources that are distributed across multiple organizations and administrative areas. In order to solve this problem and increase the efficiency of the available resources, a method is proposed for scheduling resources in a Grid. The method combines metaheuristics iterative local search forward algorithm for timetable and uses auction for conflicting resources.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Cardon, A., Galinho, T., Vacher, J.: Genetic algorithms using multi-objectives in multi-agent system. Robotics and Autonomous Systems 33, 179–190 (2000)
Li, M., Yua, B., Qi, M.: PGGA: A predictable and grouped genetic algorithm for job scheduling. Future Generation Computer Systems 22, 588–599 (2006)
Leung, C.W., Wong, T.N., Mak, K.L., Fung, R.Y.K.: Integrated process planning and scheduling by an agent-based ant colony optimization. Computers & Industrial Engineerin (2009)
Xiang, W., Lee, H.P.: Ant colony intelligence in multi-agent dynamic manufacturing scheduling. Engineering Applications of Artificial Intelligence 21, 73–85 (2008)
Labat, J., Mynard, L.: Oscillation: Heuristic Ordering and Pruning in Neighborhood Search. In: Smolka, G. (ed.) CP 1997. LNCS, vol. 1330, pp. 506–518 (1997)
Buyya, R., Chapin, S., DiNucci, D.: Architectural models for resource management in the Grid. In: First IEEE/ACM International Workshop on Grid Computing. LNCS Series, Springer, Germany (2000)
Assuncao, M. D., Buyya, R.: An evaluation of communication demand of auction protocols in grid environments. Technical report, Computing and Distributed Systems Laboratory, The University of Melbourne, Australia (2006)
Li, C., Li, L.: The use of economic agents under price driven mechanism in grid resource management. Journal of Systems Architecture 50, 521–535 (2004)
Gomoluch, J., Schroeder, M.: Market-based resource allocation for grid computing. A Model and Simulation, 211–218 (2003)
Müller, T.: Interactive Heuristic Search Algorithm. In: Proceedings of the CP 2002 Conference - Doctoral Programme, Ithaca (2002)
Muller, T., Bartak, R.: Interactive timetabling: Concepts, techniques, and practical results. In: PATAT 2002—Proceedings of the 4th International Conference on the Practice And Theory of Automated Timetabling (2002)
Java Platform Development Framework (JADE), http://jade.tilab.com/
FIPA, http://www.fipa.org/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Nakov, O., Borovska, P., Aleksieva-Petrova, A., Profitis, A., Bekiarov, L. (2011). Agent-Based Grid Resource Management. In: Mohamad Zain, J., Wan Mohd, W.M.b., El-Qawasmeh, E. (eds) Software Engineering and Computer Systems. ICSECS 2011. Communications in Computer and Information Science, vol 179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22170-5_40
Download citation
DOI: https://doi.org/10.1007/978-3-642-22170-5_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22169-9
Online ISBN: 978-3-642-22170-5
eBook Packages: Computer ScienceComputer Science (R0)