doi: 10.4304/jsw.9.10.2741-2748
Patterns Support for Automatic Resource Management in Cloud Computing
2Information Engineering College, Henan University of Science and Technology, Luoyang 471003, China
Abstract—Cloud computing has become a popular topic in many areas. It can publish various resources offered by a number of vendors as services. However, there is no valid technology to manage the resources or services. In this paper, the relations among the resources are classified into four classes: the relations among the resources having the same character, the relations among the variable part and invariable part of a service, the relations among the resources having the same interaction manner, and the relations among the resources that are incompatible but have to interoperate. Then four patterns are proposed to manage the resources in cloud. The motivation, condition, structure, generation and consequence are presented for each pattern. They can be used to improve the availability, scalability and reusability of the resources provided.
Index Terms—Automatic resource management, Design pattern, Reusing, Semantic, Cloud computing, Service composition
Cite: Guangjun Cai, Lei Zhang, Bin Zhao, Yong Liu, "Patterns Support for Automatic Resource Management in Cloud Computing," Journal of Software vol. 9, no. 10, pp. 2741-2748, 2014.
General Information
ISSN: 1796-217X (Online)
Abbreviated Title: J. Softw.
Frequency: Quarterly
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
Abstracting/ Indexing: DBLP, EBSCO,
CNKI, Google Scholar, ProQuest,
INSPEC(IET), ULRICH's Periodicals
Directory, WorldCat, etcE-mail: jsweditorialoffice@gmail.com
-
Oct 22, 2024 News!
Vol 19, No 3 has been published with online version [Click]
-
Jan 04, 2024 News!
JSW will adopt Article-by-Article Work Flow
-
Apr 01, 2024 News!
Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec) [Click]
-
Apr 01, 2024 News!
Papers published in JSW Vol 18, No 1- Vol 18, No 6 have been indexed by DBLP [Click]
-
Jun 12, 2024 News!
Vol 19, No 2 has been published with online version [Click]