Abstract
Cloud computing (CC) merits such as scalability, reliability, and resource pooling have enticed experts to implement their high performance computing (HPC) applications on cloud. Nonetheless, HPC applications can pose critical defies on cloud that could emasculate the acquired merits if appropriate care is not taken. The main objective of this research is to develop a task scheduling algorithm that convalesces HPC application performance on software-defined network (SDN) with abridged cost. Moreover, a novel framework is adapted to improve HPC task scheduling performance on cloud in an SDN-enabled network, which is a fundamental part of CC and used for resource delivery. A proposed algorithm for task scheduling architecture manages scheduling tasks. Also, the proposed algorithm monitors CPU utilization, cost, and provides best optimal results when compared with conventional algorithms such as first come first served, round robin, and optimized time synchronization approach.
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