DocumentCode
2469565
Title
Dependability analysis and optimal maintenance problem for open source cloud computing
Author
Tamura, Yoshinobu ; Yamada, Shigeru
Author_Institution
Grad. Sch. of Sci. & Eng., Yamaguchi Univ., Ube, Japan
fYear
2012
fDate
14-17 Oct. 2012
Firstpage
1592
Lastpage
1597
Abstract
A cloud computing is attracting attention as a network service to share the computing resources such as networks, servers, storage, applications, and services. We focus on a cloud computing environment by using open source software such as OpenStack and Eucalyptus because of the unification management of data, low cost. In this paper, we propose a new approach to software dependability assessment based on a stochastic differential equation model in order to consider the interesting aspect of the numbers of components and users. Also, we analyze actual data to show numerical examples of software dependability assessment considering such characteristics of cloud computing environment. Moreover, we formulate a total expected software cost model for the environment of cloud computing. Then, we discuss the determination of optimum software maintenance times minimizing the total expected software cost.
Keywords
cloud computing; differential equations; public domain software; software cost estimation; software maintenance; Eucalyptus software; OpenStack software; data unification management; dependability analysis; network service; open source cloud computing; open source software; optimal maintenance problem; software cost minimization; software dependability assessment; software maintenance time; stochastic differential equation model; total expected software cost model; Cloud computing; Computational modeling; Maintenance engineering; Mathematical model; Software reliability; Cloud computing; Dependability; Modeling; Open source software; Optimal maintenance problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4673-1713-9
Electronic_ISBN
978-1-4673-1712-2
Type
conf
DOI
10.1109/ICSMC.2012.6377964
Filename
6377964
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