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author:

Chen, X. (Chen, X..) [1] | Zhang, Y. (Zhang, Y..) [2] | Huang, G. (Huang, G..) [3] | Zheng, X. (Zheng, X..) [4] | Guo, W. (Guo, W..) [5] | Rong, C. (Rong, C..) [6]

Indexed by:

Scopus

Abstract:

Cloud management faces with great challenges, due to the diversity of Cloud resources and ever-changing management requirements. For constructing a management system to satisfy a specific management requirement, a redevelopment solution based on existing management systems is usually more practicable than developing the system from scratch. However, the difficulty and workload of redevelopment are also very high. As the architecture-based runtime model is causally connected with the corresponding running system automatically, constructing an integrated Cloud management system based on the architecture-based runtime models of Cloud resources can benefit from the model-specific natures, and thus reduce the development workload. In this paper, we present an architecture-based approach to managing diverse Cloud resources. First, manageability of Cloud resources is abstracted as runtime models, which could automatically and immediately propagate any observable runtime changes of target resources to corresponding architecture models, and vice versa. Second, a customized model is constructed according to the personalized management requirement and the synchronization between the customized model and Cloud resource runtime models is ensured through model transformation. Thus, all the management tasks could be carried out through executing programs on the customized model. The experiment on a real-world cloud demonstrates the feasibility, effectiveness and benefits of the new approach to integrated management of Cloud resources © 2014, Chen et al.; licensee Springer.

Keyword:

Cloud management; Models at runtime; Software architecture

Community:

  • [ 1 ] [Chen, X.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350116, China
  • [ 2 ] [Chen, X.]Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing (Fuzhou University), Fuzhou, 350116, China
  • [ 3 ] [Zhang, Y.]Key Laboratory of High Confidence Software Technologies (Ministry of Education), Beijing, 100871, China
  • [ 4 ] [Zhang, Y.]School of Electronics Engineering and Computer Science, Peking University, Beijing, 100871, China
  • [ 5 ] [Huang, G.]Key Laboratory of High Confidence Software Technologies (Ministry of Education), Beijing, 100871, China
  • [ 6 ] [Huang, G.]School of Electronics Engineering and Computer Science, Peking University, Beijing, 100871, China
  • [ 7 ] [Zheng, X.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350116, China
  • [ 8 ] [Zheng, X.]Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing (Fuzhou University), Fuzhou, 350116, China
  • [ 9 ] [Guo, W.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350116, China
  • [ 10 ] [Guo, W.]Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing (Fuzhou University), Fuzhou, 350116, China
  • [ 11 ] [Rong, C.]Department of Computer Science and Electronic Engineering, University of Stavanger, Stavanger, 4036, Norway

Reprint 's Address:

  • [Zheng, X.]College of Mathematics and Computer Science, Fuzhou UniversityChina

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Source :

Journal of Cloud Computing

ISSN: 2192-113X

Year: 2014

Issue: 1

Volume: 3

Page: 1-15

2 . 1 4 0

JCR@2018

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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