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[会议论文]

Architecture-based Integrated Management of Cloud Resources

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author:

Chen, Xing (Chen, Xing.) [1] (Scholars:陈星) | Zhang, Ying (Zhang, Ying.) [2] | Zhang, Xiaodong (Zhang, Xiaodong.) [3] | Unfold

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CPCI-S EI 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 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.

Keyword:

Cloud Management Models at Runtime Software Architecture

Community:

  • [ 1 ] [Chen, Xing]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Peoples R China
  • [ 2 ] [Zheng, Xianghan]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Peoples R China
  • [ 3 ] [Guo, Wenzhong]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Peoples R China
  • [ 4 ] [Chen, Guolong]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Peoples R China
  • [ 5 ] [Chen, Xing]Peking Univ, Fujian Prov Key Lab Networking Comp & Intelligent, Beijing 100871, Peoples R China
  • [ 6 ] [Zheng, Xianghan]Peking Univ, Fujian Prov Key Lab Networking Comp & Intelligent, Beijing 100871, Peoples R China
  • [ 7 ] [Guo, Wenzhong]Peking Univ, Fujian Prov Key Lab Networking Comp & Intelligent, Beijing 100871, Peoples R China
  • [ 8 ] [Chen, Guolong]Peking Univ, Fujian Prov Key Lab Networking Comp & Intelligent, Beijing 100871, Peoples R China
  • [ 9 ] [Zhang, Ying]Peking Univ, Key Lab High Confidence Software Technol, Minist Educ, Beijing 100871, Peoples R China
  • [ 10 ] [Zhang, Xiaodong]Peking Univ, Key Lab High Confidence Software Technol, Minist Educ, Beijing 100871, Peoples R China
  • [ 11 ] [Zhang, Ying]Peking Univ, Sch Elect Engn & Comp Sci, Beijing 100871, Peoples R China
  • [ 12 ] [Zhang, Xiaodong]Peking Univ, Sch Elect Engn & Comp Sci, Beijing 100871, Peoples R China

Reprint 's Address:

  • 陈星

    [Chen, Xing]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Peoples R China

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Source :

2013 INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA (CLOUDCOM-ASIA)

Year: 2013

Page: 474-481

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

30 Days PV: 0

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