A self-adaptive differential evolution algorithm for task scheduling in cloud computing, By Hojjat Emami

Research

Title	A self-adaptive differential evolution algorithm for task scheduling in cloud computing
Type	Presentation
Keywords	Cloud computing, task scheduling, resource management, self-adaptive differential evolution, makespan, energy consumption
Researchers	Hojjat Emami

Abstract

Task scheduling is the most important requirement in cloud computing, which plays a vital role in enhancing the quality of services and reducing power consumption and processing time. This paper presents a self-adaptive differential evolution (SADE) algorithm for scheduling tasks in cloud computing. The proposed method models task scheduling as a multi-modal optimization problem with the objectives of minimizing makespan and energy consumption. The experiments on scheduling benchmarks show the superiority of the proposed method in most test cases compared with the peer methods.