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author:

Wang, Yizhou (Wang, Yizhou.) [1] | Li, Aipeng (Li, Aipeng.) [2] | Chen, Xing (Chen, Xing.) [3] | Zhang, Ying (Zhang, Ying.) [4] | Huang, Gang (Huang, Gang.) [5]

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EI

Abstract:

Cloud computing has emerged as a new paradigm for services delivering over the Internet. In this growing market, PaaS (Platform-as-a-Service) cloud has been an important model allowing a simple and flexible deployment of applications, without the need for dedicated networks, servers, storage and other services. Many PaaS services have been provided in the past few years and it is required to use hybrid PaaS services in order to satisfy management requirements such as legacy system integration and dynamic resource scaling. However, there are various management interfaces and different management mechanisms among PaaS clouds, which cause great difficulty and high complexity to application deployment in a hybrid cloud. In this paper, we present a runtime model based approach to using hybrid PaaS services. First, the manageability of PaaS services is abstracted as runtime models that are automatically connected with the corresponding systems. Second, we provide a unified model of PaaS services, according to the domain knowledge of current PaaS clouds. Third, the synchronization between the unified model and runtime models is ensured through model transformation. Thus, administrators are able to use hybrid PaaS services in a unified manner and management logic can be also carried out by executing programs on the unified model, which decreases the difficulty and complexity of hybrid cloud management. © 2016 ACM.

Keyword:

Complex networks Legacy systems Platform as a Service (PaaS)

Community:

  • [ 1 ] [Wang, Yizhou]College of Mathematics and Computer Science, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Wang, Yizhou]Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, China
  • [ 3 ] [Li, Aipeng]College of Mathematics and Computer Science, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Li, Aipeng]Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, China
  • [ 5 ] [Chen, Xing]College of Mathematics and Computer Science, Fuzhou University, Fuzhou; 350108, China
  • [ 6 ] [Chen, Xing]Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, China
  • [ 7 ] [Zhang, Ying]Key Laboratory of High Confidence Software Technologies (Ministry of Education), China
  • [ 8 ] [Zhang, Ying]School of Electronics Engineering and Computer Science, Peking University, Beijing; 100871, China
  • [ 9 ] [Huang, Gang]Key Laboratory of High Confidence Software Technologies (Ministry of Education), China
  • [ 10 ] [Huang, Gang]School of Electronics Engineering and Computer Science, Peking University, Beijing; 100871, China

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Year: 2016

Volume: 18-September-2016

Page: 19-26

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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