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author:

Chen, Xing (Chen, Xing.) [1] | Zhang, Ying (Zhang, Ying.) [2] | Zhang, Xiaodong (Zhang, Xiaodong.) [3] | Zheng, Xianghan (Zheng, Xianghan.) [4] | Guo, Wenzhong (Guo, Wenzhong.) [5] | Chen, Guolong (Chen, Guolong.) [6]

Indexed by:

EI

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 system 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. Therefore, in this paper, we present an architecture-based approach to managing diverse Cloud resources. First of all, the manageability (such as APIs, configuration files and scripts) of Cloud resources are abstracted as runtime models, which can automatically and immediately propagate any observable runtime changes of the target resources to the corresponding architecture models, and vice versa. Then, a customized model is constructed according to the specific Cloud management requirement. Finally, the operations on the customized model are mapped to the ones on Cloud resource runtime models through model transformation. Thus, all the management tasks can be carried out through executing operations 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 IEEE.

Keyword:

Big data Cloud computing Computer architecture Software architecture

Community:

  • [ 1 ] [Chen, Xing]College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China
  • [ 2 ] [Chen, Xing]Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, Peking University, Beijing, 100871, China
  • [ 3 ] [Zhang, Ying]Key Laboratory of High Confidence Software Technologies, Ministry of Education, Peking University, Beijing, 100871, China
  • [ 4 ] [Zhang, Ying]School of Electronics Engineering and Computer Science, Peking University, Beijing, 100871, China
  • [ 5 ] [Zhang, Xiaodong]Key Laboratory of High Confidence Software Technologies, Ministry of Education, Peking University, Beijing, 100871, China
  • [ 6 ] [Zhang, Xiaodong]School of Electronics Engineering and Computer Science, Peking University, Beijing, 100871, China
  • [ 7 ] [Zheng, Xianghan]College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China
  • [ 8 ] [Zheng, Xianghan]Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, Peking University, Beijing, 100871, China
  • [ 9 ] [Guo, Wenzhong]College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China
  • [ 10 ] [Guo, Wenzhong]Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, Peking University, Beijing, 100871, China
  • [ 11 ] [Chen, Guolong]College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China
  • [ 12 ] [Chen, Guolong]Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, Peking University, Beijing, 100871, China

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Source :

Year: 2013

Page: 474-481

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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