A Genetic-Ant-Colony Hybrid Algorithm for Task Scheduling in Cloud System

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• 关键词：Cloud computing ; Task scheduling ; Ant colony algorithm ; Genetic algorithm
• 刊名：Lecture Notes in Computer Science
• 出版年：2017
• 出版时间：2017
• 年：2017
• 卷：10135
• 期：1
• 页码：183-193
• 丛书名：Smart Computing and Communication
• ISBN：978-3-319-52015-5
• 卷排序：10135

文摘

As the task load of cloud system grows bigger, it becomes very important to design an efficiency task scheduling algorithm. This paper proposes a task scheduling algorithm based on genetic algorithm and ant colony optimization algorithm. The hybrid task scheduling algorithm can help the cloud system to complete users’ tasks faster. Simulation experiment results in CloudSim show that, comparing with genetic algorithm and ant colony optimization algorithm alone, the hybrid algorithm has better performance in the aspects of load balancing and optimal time span.