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author:

Lan, X. (Lan, X..) [1] | Liu, Y. (Liu, Y..) [2] | Chen, X. (Chen, X..) [3] | Huang, Y. (Huang, Y..) [4] | Lin, B. (Lin, B..) [5] | Guo, W. (Guo, W..) [6]

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Scopus

Abstract:

Cloud Computing is evolving as a key computing paradigm for sharing resources. One type of Cloud, which provides platform resources including all the elements of application runtime environment, is regarded as PaaS Cloud. The management of PaaS Cloud is a complex task, up to the point, where manual operation is hard to be cost effective. As the application runtime environment is supported by a set of dynamically composed, distributed elements. What is more, in order to achieve a management target, multiple operations have to be applied over the distributed and heterogeneous elements of PaaS Cloud. To improve the management of PaaS Cloud, this paper proposes to support the configuration and deployment of application runtime environment in PaaS Cloud with an autonomous engine. The automation is enabled by the definition of a domain-specific information model, which captures all the related information with the same abstractions, describing the application runtime environment, PaaS Cloud infrastructure and management targets. On top of that, a technique based on Satisfiability is described, which automatically analyses the state of the managed objects and plans required operations for maintaining it. The result from a case study is provided to validate the feasibility of this approach. © 2014 IEEE.

Keyword:

Autonomic systems; Cloud computing; Model based management; Platform as a service; Satisfiability

Community:

  • [ 1 ] [Lan, X.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Lan, X.]Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, China
  • [ 3 ] [Liu, Y.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350108, China
  • [ 4 ] [Liu, Y.]Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, China
  • [ 5 ] [Chen, X.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350108, China
  • [ 6 ] [Chen, X.]Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, China
  • [ 7 ] [Huang, Y.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350108, China
  • [ 8 ] [Huang, Y.]Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, China
  • [ 9 ] [Lin, B.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350108, China
  • [ 10 ] [Lin, B.]Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, China
  • [ 11 ] [Guo, W.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350108, China
  • [ 12 ] [Guo, W.]Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, China

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Source :

Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom

ISSN: 2330-2194

Year: 2015

Issue: February

Volume: 2015-February

Page: 823-828

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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