Dynamic Multi-Service Load Balancing System in Cloud-Based Multimedia
Vinza V. Suthan1, Chitharanjan K.2
1Vinza V Suthan, M.Tech Student, Department of Computer Science and Engineering, SCTCE, Pappanmcode, Trivandrum (Kerala), India.
2Chitharanjan K, Assistant Professor, Department of Computer Science and Engineering, SCTCE, Pappanmcode, Trivandrum (Kerala), India.
Manuscript received on 15 August 2015 | Revised Manuscript received on 25 August 2015 | Manuscript Published on 30 August 2015 | PP: 278-281 | Volume-4 Issue-6, August 2015 | Retrieval Number: F4241084615/15©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Load balancing is a process to distributing the workload across many computers or instruction data centres to maximize throughput and minimize work load on resources. In the case of cloud computing environments there were various challenges are there in the load balancing techniques like data security, and proper distribution etc. This is an efficient dynamic load balancing algorithm for cloud workload management by which the load can be distributed not only in a balancing approach, but also it allocate the load systematically and uniformly by checking certain parameters like number of requests the server is handling currently. It balances the load on the overloaded node to under loaded node so that response time from the server will decrease and performance of the system is increased. Here to considering a centralized hierarchical cloud-based multimedia system(CMS) consisting of a resource manager, cluster heads, and server clusters, in which the resource manager assigns clients’ requests for multimedia service tasks to server clusters according to the job features, and then each cluster head gives the assigning job to the servers within its server cluster. For this complicated CMS, however, it is a challenging to design an effective load balancing algorithm which spreads the multimedia service job load on servers with the minimal cost for transmitting multimedia data between server clusters and clients, while not violating the maximal load limit of each server cluster. New genetic algorithm can be minimizing the response time and minimizing the communication cost. Simulation results explained that the proposed new genetic algorithm can efficiently cope with dynamic multiservice load balancing.
Keywords: Cloud Computing, Genetic Algorithm, Dynamic Load Balancing.
Scope of the Article: Cloud Computing