Role of Information System to measure the Cost and Performance Aware Scheduling Technique for Cloud Computing Environment

Abstract

The lot of interest has been put forth by researchers to improve workload scheduling in the cloud platform. However, the execution of scientific workflow on a cloud platform is time-consuming and expensive. Much research has been emphasised, as users are charged based on the usage hour, minimising processing time to reduce cost. However, the processing cost can be reduced by minimising energy consumption, especially when resources are heterogeneous; Minimal work has been done considering optimising cost with energy and processing time parameters to meet task Quality of Service (QoS) requirements. This paper presents cost and performance-aware workload scheduling (CPA-WS) techniques under a heterogeneous cloud platform. This paper presents a cost optimisation model through the minimisation of processing time and energy dissipation for the execution of the task. Experiments are conducted using two widely used workflows such as Inspiral and CyberShake. The outcome shows the CPA-WS significantly reduces energy, time, and cost compared to the standard workload scheduling model.