A novel Agent Based Load Balancing Model for maximizing resource utilization in Grid Computing
Grid is the collection of geographically distributed computing resources. For efficient management of these resources, the manager must maximize its utilization, which can be achieved by efficient load balancing algorithm, The objective of load balancing algorithms is to assign the load on resources to optimize resource use while reducing total jobs execution time. the proposed agent based load balancing model aims to take benefit of the agent’s characteristics to generate an autonomous system. It also addresses similar systems drawbacks such as instability, scalability or adaptability. The performances of the proposed algorithms were tested in Alea 2 simulator by using different parameters like response time, resources utilization and waiting time in the global queue. The performance evaluation appears that the proposed algorithm can enhance the overall performance of grid computing.
Brugnoli, M., Heymann, E., Senar, M.A., et al. Grid scheduling based on collaborative random early detection strategies’. 18th Euromicro Conf. Parallel,Distributed and Network-based Processing, Pisa, Italy, pp. 35–42 ,February 2010.
Wu, J., Xu, X., Zhang, P.C., et al. A novel multi-agent reinforcement learning approach for job scheduling in grid computing’, Future Gener. Comput. Syst., 27, (5), pp. 430–439,2011.
M.N. Satymbekov, I.T. Pak, L. Naizabayeva, and Ch.A. Nurzhanov. Multi-agent grid system Agent-GRID with dynamic load balancing of cluster nodes, Open Engineering 7(1):485-490, December 2017.
Soumya Banerjee and Joshua P. Hecker.Multi-Agent System Approach to Load-Balancing and Resource Allocation for Distributed Computing, First Complex Systems Digital Campus World E-Conference ,2015 .
Rina Suros, Juan Francisco Serrano. Communication complexity in high-speed distributed computer network in an agent based architecture for grids service Ray Tracing View project, International Journal of Advanced Computer Research, Vol 8(35) ISSN (Print): 2249-7277, 22-February-2018
HAJOUI YOUNES et al., New load balancing Framework based on mobile AGENT and ant-colony optimization technique, Conference Intelligent Systems and Computer Vision (ISCV), At Fès,2017.
Rathore, N. Efficient Agent Based Priority Scheduling and Load Balancing Using Fuzzy Logic in Grid Computing, i-manager’s Journal on Computer Science, 3(3), 11-22. 2015.
B. Yagoubi, and M. Meddeber.Distributed Load Balancing Model for Grid Computing, Revue ARIMA,Vol. 12,pp. 43-60,2010.
This work is licensed under a Creative Commons Attribution 3.0 License.