Belabbas Yagoubi ; Meriem Meddeber
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Distributed Load Balancing Model for Grid Computing
arima:1931 -
Revue Africaine de Recherche en Informatique et Mathématiques Appliquées,
August 22, 2010,
Volume 12, 2010
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https://doi.org/10.46298/arima.1931
Distributed Load Balancing Model for Grid Computing
Authors: Belabbas Yagoubi 1; Meriem Meddeber 2
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Belabbas Yagoubi;Meriem Meddeber
1 Département d'Informatique [Oran]
2 Department of Computer Science
Most of the existing load balancing strategies were interested in distributed systems which were supposed to have homogeneous resources interconnected with homogeneous and fast networks. For Grid computing, these assumptions are not realistic because of heterogeneity, scalability and dynamicity characteristics. For these environments the load balancing problem is then a new challenge presently for which many research projects are under way. In this perspective, our contributions through this paper are two folds. First, we propose a distributed load balancing model which can represent any Grid topology into a forest structure. After that, we develop on this model, a load balancing strategy at two levels; its principal objectives : the reduction of average response time of tasks and their transferring cost. The proposed strategy is naturally distributed with a local decision, which allows the possibility of avoiding use of wide area communication network.
User Demand Aware Grid Scheduling Model with Hierarchical Load Balancing
3 Documents citing this article
Source : OpenCitations
Kaul, Surabhi; Kumar, Yogesh; Ghosh, Uttam; Alnumay, Waleed, 2021, Nature-inspired Optimization Algorithms For Different Computing Systems: Novel Perspective And Systematic Review, Multimedia Tools And Applications, 81, 19, pp. 26779-26801, 10.1007/s11042-021-11011-x.
Priya, J. Sathya; Femina, M. A.; Samuel, R. A., 2020, APSO-MVS: An Adaptive Particle Swarm Optimization Incorporating Multiple Velocity Strategies For Optimal Leader Selection In Hybrid MANETs, Soft Computing, 24, 24, pp. 18349-18365, 10.1007/s00500-020-05034-z.
Wided, Ali; Okba, Kazar; Fatima, Bouakkaz, 2020, Load Balancing With Job Migration Algorithm For Improving Performance On Grid Computing: Experimental Results, ADCAIJ: Advances In Distributed Computing And Artificial Intelligence Journal, 8, 4, pp. 5-18, 10.14201/adcaij201984518.