DocumentCode :
251773
Title :
A Cloud-Oriented Services Self-Management Approach Based on Multi-agent System Technique
Author :
Fu Hou ; Xinjun Mao ; Wei Wu ; Lu Liu ; Panneerselvam, John
Author_Institution :
Coll. of Comput., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2014
fDate :
8-11 Dec. 2014
Firstpage :
261
Lastpage :
268
Abstract :
The services in open and dynamic Cloud Computing environments are often decentralized, evolving and are cross-organized. Efficient management of the Cloud resources for the improvement of the quality and efficiency of the service provisions is still being a continuous challenge in Cloud domain. To this end, this paper proposes a self-management approach for the cloud services, with an autonomous and context-aware management of the resources by employing a number of service agents in the Cloud environment. Such service agents are responsible for organizing the service management through their local interactions in the system, and further leading to the expected emergence of the service organization. Based on this approach, we present a cloud-oriented services self-management framework with suitable mechanisms for service aggregations and service provisions. And, two supporting algorithms are designed to implement the proposed services self-organization process and also the service provision process. We conduct various experiments on public data sets, and the experimental results prove the efficiency of our system in improving the quality of the Cloud services and also the practical adaptability of our system to the ever changing Cloud environment.
Keywords :
cloud computing; multi-agent systems; cloud computing; cloud resources; cloud-oriented services; multi-agent system technique; self-management approach; service management; Cloud computing; Educational institutions; Electronic mail; Multi-agent systems; Organizations; Semantics; Software agents; cloud services; multi-agent system; self-organization; service aggregation; services categorization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Utility and Cloud Computing (UCC), 2014 IEEE/ACM 7th International Conference on
Conference_Location :
London
Type :
conf
DOI :
10.1109/UCC.2014.35
Filename :
7027502
Link To Document :
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