文章基本信息

标题：QOS-DRIVEN MIGRATION SCHEME BASED ON PRIORITY IN CLOUD COMPUTING
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作者：A-YOUNG SON ; EUI-NAM HUH
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2018
卷号：96
期号：4
页码：1038
出版社：Journal of Theoretical and Applied
摘要：Migration used many areas like resource management in cloud computing environment. Numerous schemes of resource scaling based on migration are designed in the Cloud Data Center (CDC) s. However, cloud service providers (CSPs) have not yet provided sufficient efficiency to meet user requirements such as energy efficiency, performance and cost. Furthermore, most of the previous researches did not consider the multi-metric. Thus, we have to consider combining decision method with Fuzzy and AHP for multi-metric. The simulations show that the hierarchical migration scheme is necessary to meet user requirement. In this paper, we proposed migration scheme based on priority in cloud computing. We also performed resource scaling based on fuzzy system and analyzed effect of metric to maximize energy efficiency. Finally, we demonstrated the proposed method by using different migration strategies.
关键词：Cloud computing; Resource scaling; Analytical Hierarchical Process (AHP); Fuzzy; Multi-Criteria Decision Making (MCDM); Data Center