Reliability-aware green scheduling in cloud computing

Abstract

In cloud computing scenario, workflow scheduling algorithms require multiple conflicting goals to be optimized. Optimal makespan, reduced energy consumption and reliability of execution are the most important goals to be optimized. In this paper, we propose a multi-objective workflow scheduling algorithm in cloud computing—ERAWS, which optimizes three conflicting criteria: makespan, reliability of task execution and energy consumption. We validate and analyze the performance of our algorithm by using the CloudSim toolkit. We use randomly generated task graphs and task graphs for Gaussian elimination and fast Fourier transformation to represent workflow applications. The simulation results show that ERAWS algorithm gains significantly in terms of makespan and energy consumption, in real-world scenarios where reliability and energy consumption are important issues.