Prognostic Load Balancing Strategy for Latency reduction in Mobile Cloud Computing
Journal: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY (Vol.9, No. 2)Publication Date: 2013-02-11
Authors : Ibrahim A. Cheema; Mudassar Ahmad; Fahad Jan; Asri Bin Ngadi;
Page : 1080-1090
Keywords : Mobile Cloud Computing (MCC); Cloud Computing (CC); Load Balancing Strategy; Load Balancing Techniques; Load Balancing Matrices;
Abstract
In Mobile Cloud Computing (MCC), load balancing is essential to distribute the local workload evenly across all the nodes either statically or dynamically. A high level of user satisfaction and resource utilization ratio can be achieved by ensuring an efficient and fair allocation of all computing resources. In the absence of proper load balancing strategy/technique the growth of MCC will never go as per predictions. The appropriate load balancing helps in minimizing resource consumption, implementing fail-over, enabling scalability, avoiding bottlenecks. In this paper, a prognostic load balancing strategy is proposed and implemented for computational latency reduction in MCC. Also the results of proposed technique is compared with existing techniques. Finally this study concludes that the proposed predictive technique reduces associated overheads, service response time and improves performance. There are also Various parameters that are identified and used to compare the existing techniques.??
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