Utility-Based Decision Making for Migrating Cloud-Based Applications

被引：9

作者：

Saez, Santiago Gomez ^{[1
]}

Andrikopoulos, Vasilios ^{[2
]}

Bitsaki, Marina ^{[3
]}

Leymann, Frank ^{[1
]}

van Hoorn, Andre ^{[4
]}

机构：

[1] Univ Stuttgart, IAAS, Stuttgart, Germany

[2] Univ Groningen, Dept Software Engn, Groningen, Netherlands

[3] Univ Crete, Dept Comp Sci, Iraklion, Greece

[4] Univ Stuttgart, Reliable Software Syst Res Grp, Inst Software Technol, Stuttgart, Germany

来源：

ACM TRANSACTIONS ON INTERNET TECHNOLOGY | 2018年 / 18卷 / 02期

关键词：

Cloud application topologies; cloud services selection; utility theory; decision making;

D O I：

10.1145/3140545

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Nowadays, cloud providers offer a broad catalog of services for migrating and distributing applications in the cloud. However, the existence of a wide spectrum of cloud services has become a challenge for deciding where to host applications, as these vary in performance and cost. This work addresses such a challenge, and provides a utility-based decision support model and method that evaluates and ranks during design time potential application distributions spanned among heterogeneous cloud services. The utility model is evaluated using the MediaWiki (Wikipedia) application, and shows an improved efficiency for selecting cloud services in comparison to other decision making approaches.

引用

页数：22

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