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The Research Monograph Series in Computing, Electrical & Communication Networks
Mobility Aware Load Balanced Scheduling For Mobile Grid
Authors : Dr. T. SASIKALA
Grid computing is a large-scale virtual computing environment where geographically distributed resources collaboratively provide an exceptional infrastructure for solving complex, scientific and computing tasks. The emerging Grid Community is trying to incorporate mobile devices into the Grid forming Mobile Grid. The rationale behind creating the mobile grid is that the number of mobile device users is exploding and the present mobile devices are equipped with high speed processors and large memory with advanced technology at ever-faster pace. The mobile devices also have advantages over fixed computing resources such as mobility, portability, and pervasiveness. In addition to this, there arelots of highly capable mobile devices, idle most of the time in the same enterprise network. Further, the mobile devices can be applied in the field like wildfire prevention, e-health system, scientific, engineering and commercial purposes where Grid computing is probably employed. . ............
Part of the book series: The Research Monograph Series in Computing, Electrical & Communication Networks
Here, we designed a Mobility Aware Load Balanced Scheduling Algorithm for the mobile grid environment. In this technique, two job categories such as computing-focused and communication-focused jobs are taken into consideration. The server allocates the resources with shorter round-trip-time (RTT) and high CPU speed and capacity of the computing-intensive jobs. The communication-intensive jobs are allocated to resources with low mobility and high reliability. This approach provides an efficient, balanced job scheduling across the entire client set in the mobile grid network. By simulation, we compare our MALBS algorithm with BSA algorithm based technique. We have shown that our proposed MALBS approach minimizes the network overhead and increases the performance compared to BSA technique.
Dr. T. SASIKALA