Communications on Advanced Computational Science with Applications
Volume 2016, No. 1 (2016), Pages 57-62
Article ID cacsa-00042, 6 Pages
Load Balancing Mechanism in Agent-based Grid
Hamideh Gharehjehdaghi1, Abdolreza Hatamlou1 *, Ramin Jafarzadeh1
1Department of Computer Science, Faculty of Sciences, Islamic Azad University Khoy Branch, Khoy, Iran
* Corresponding author. Email address: Hatamlou@iaukhoy.ac.ir. Tel: +98 9144627893
Received: 20 April 2015; Accepted: 13 August 2015
Copyright © 2016 Hamideh Gharehjehdaghi, Abdolreza Hatamlou and Ramin Jafarzadeh. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Grid is a computing extensive computational environment that makes the enormous processing power for distributed processing. Grid resource management is important and for agent-based approach is a way to manage its resources. Load balancing is an important section resource management system. Paper model of multilevel load balancing in grid and ARMS environments provided, resource management model provided that the estimate is load node. In the First level of model, using genetic algorithm is used for load balancing nodes between internal resources. That is, in the second level, Add method of the neighborhood and overloaded nodes are added to the rainfall distribution in the limited area around the player. The third level is the ecosystem is one of the intelligent ants, each method is a method of load balancing. Picking methods In a multilevel structure is called MLBM that liminates the disadvantages and satisfies the majority of the load balancing properties. The results show that the model is superior to its predecessors gain in increasing productivity and reduction srbarartbaty.
Keywords: Grid; load balancing; ARMS; MLBM
N. R. Jennings, M. J. Wooldridge (eds), Agent Technology: Foundations, Applications, and Markets, Springer-Verlag, (1998).
Mohsen Amini Salehi, Hosseain Deldari, MLBLM: A Multi-level Load Balancing Mechanism in Agent-Based Gird, springer, 4308 (2006) 157-162.
J. Cao, D. J. Kerbyson, E. Papaefstathiou, G. R. Nudd, Performance Modelling of Parallel and Distributed Computing Using PACE, in Proc. of 19th IEEE Int. Performance, Computing and Communication Conf., Phoenix, USA, (2000) 485-492.
J. Cao, Agent-Based Resource Management System (ARMS), PhD Thesis, Warwick University Dept. of Computer Science, (2001).
J. Cao, D. J. Kerbyson, G. R. Nudd, Dynamic Application Inteation Using Agent-Based Operational Administration, in Proc Of 5th Int. Conf. on Practical Application of Intelligent Agentsand Multi-Agen Tecnology, Manchester, UK, (2000) 393-396.
J. Cao, Daniel P. Spooner, S. A. Jarvis, S. Saini, Agent-Based Grid Load Balancing Using Performance-Driven Task Scheduling, In Proc. of 17thIEEE Int. Parallel & Distributed Processing Symposium (IPDPS 2003), Nice, France, April (2003).
M. Baker, R. Buyya, D. Laforenza, The Grid: A Survey on Global Efforts in Grid Computing, Tech. Rep: 2001/92, Monash University, Australia, (2001).