• Shachi P. Shah
• Prof. Ishan Rajani

High performance computing improves usability and scalability of data processing over cloud. When used with different type of data having large size values with higher processing requirements, its compulsory for us to provide better range machines. Conventionally, HPC outperforms much low capacity system when used with cloud processing over data centers. But it requires a physical setup that involves purchasing, transport, wiring and configuration that could take weeks to implement. Our proposed algorithm setup can be done in matter of minutes and is better in processing for energy efficiency. My algorithm uses VM migration to achieve load balance for tightly coupled parallel applications executing in virtualized environments that suffer from interfering jobs. While restoring load balance, it not only reduces the timing penalty caused by interfering jobs, but also reduces energy consumption significantly. My result will show significant improvement in energy consumption level and thus comparison will be based on number of migrations and energy consumption in watt.

High performance computing, cloud computing, migration

"An Improved Approach for Cloud Computing By Optimal Utilization of Resourcewith High Performance Computation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.66-73, April-2019, Available :http://www.jetir.org/papers/JETIR1904714.pdf

"An Improved Approach for Cloud Computing By Optimal Utilization of Resourcewith High Performance Computation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp66-73, April-2019, Available at : http://www.jetir.org/papers/JETIR1904714.pdf