文章基本信息

标题：A Cost-AWARE Approach Based ON Learning Automata FOR Resource Auto-Scaling IN Cloud Computing Environment
本地全文：下载
作者：Khosro Mogoui ; Mostafa Ghobaei Arani
期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2015
卷号：8
期号：7
页码：389-398
DOI：10.14257/ijhit.2015.8.7.35
出版社：SERSC
摘要：In recent years, applications of cloud services have been increasingly expanded. Cloud services, are distributed infrastructures which develop the communication and services. Auto scaling is one of the most important features of cloud services which dedicates and retakes the allocated dynamic resource in proportion to the volume of requests. The Scaling tries to utilize maximum power of the available resources also to use idle resources, in order to maximize the efficiency or shutdown unnecessary resources to reduce the cost of running requests. In this paper, we have suggested an approach based on learning automata for resource auto-scaling, in order to manage and optimize factor cost. Results of simulation show that proposed approach has been able to optimize cost compared to the other approaches.
关键词：Cloud computing; Scalability; Auto-scaling; Learning automata