期刊名称：International Journal of Electronics, Communication and Soft Computing Science and Engineering
印刷版ISSN：2277-9477
出版年度：2018
卷号：11
语种：English
出版社：IJECSCSE
摘要：For real-time tasks fault tolerance becomes a common challenge for cloud. A high resources failure probability due to the increased functionality and complexity of the large systems, incurred by the large cloud data centers. This paper focused on five existing fault tolerance and scheduling techniques for cloud systems. This paper attends a method for fault tolerance and scheduling for cloud systems using genetic algorithm. The proposed method improves the performance of the cloud system by randomly initializing a chromosomes population for a given task (ti) and locating proper cloud resources to those tasks. This leads to proper cloud resource utilization and scheduling.
