Mobility Aware Load Balanced Scheduling Algorithm for Mobile Grid Environment

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The Present Grid community is trying to incorporate mobile devices such as PDA, Laptops, and sensor devices supporting abile functionalities in to their Grid network. The most challenging aspect in mobile Grid are job scheduling and load balancing under the unreliable communication environment. The existing job scheduling algorithms lag to verify the node’s capability and to optimize the job execution time. This deficiency leads to increased network overhead causing poor network performance. To overcome these issues, we propose a mobility aware load balanced scheduling algorithm. Our approach categories the jobs into Computing-focused and Communication-focused jobs. The computing-intensive jobs are allocated to the resources with shorter round-trip-time, high CPU speed and capacity. The communication-intensive jobs are allocated to resources with low mobility and high reliability. The outcome of this approach results in most excellent balanced job allocation across the mobile nodes. By simulation results, we show that the proposed approach gives optimized results compared to existing techniques

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Mobile Grid; Node Mobility Prediction; Response Time; RSS; Grid Controller; Proxy Server

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