Cost-efficient task scheduling algorithm to reduce energy consumption and makespan of cloud computing

Computer and Knowledge Engineering

مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 12 دی 1400  

نوع مقاله: Original Article

شناسه دیجیتال (DOI): 10.22067/cke.2022.70000.1008

نویسندگان

najme mansouri ؛ Reyhane ghafari

Department of Computer Science, Shahid Bahonar University of Kerman, Kerman, Iran

چکیده

Abstract--In cloud computing, task scheduling is one of the important issues that need to be considered in order to enhance system performance and user satisfaction. Although there are many task scheduling strategies, available algorithms mainly focus on reducing the execution time while ignoring the profits of service providers. In order to improve provider profitability as well as meet the user requirements, tasks should be executed with minimal cost and without violating Quality of Service (QoS) restrictions. In this paper, we present a Cost and Energy-aware Task Scheduling Algorithm (CETSA) with the aim to reduce makespan, energy consumption, and cost. The proposed algorithm considers the trade-off between cost, energy consumption, and makespan while considering the load on each virtual machine to prevent virtual machines from overloading. Experimental results with CloudSim show that the CETSA algorithm has better results in terms of energy consumption, waiting time, success rate, cost, improvement ratio, and degree of imbalance compared with MSDE, CPSO, CJS, and FUGE.

کلیدواژه‌ها

Cloud؛ Task scheduling؛ Cost؛ Energy consumption؛ Makespan