Cross‐clouds services autonomic management approach based on self‐organizing multi‐agent technology. (12th January 2016)

• Record Type: Journal Article
• Authors: Hou, Fu; Mao, Xinjun
• Other Names: Frincu Mark guestEditor.; Bósa Károly guestEditor.; Rong Chunming guestEditor.; Liu Lu guestEditor.; Chen Guolong guestEditor.
• Is Part Of: Concurrency and computation. Volume 28:Number 11(2016)
• Page Start: 3213
• Page End: 3237
• Publication Date: 2016-01-12
• Subjects: cross‐clouds services -- self‐organizing -- multi‐agent system -- services categorization -- service aggregation -- services management; Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.3760
• Languages: English
• ISSNs: 1532-0626

Abstract

Summary: With the rapid development and application of cloud computing, there exist plenty of clouds that are distributed on the open Internet, decentralized in the management, evolving with various services providing diverse functionalities and QoS. Moreover, because of the potential correlativity of cloud services and the dynamic of tenants' requirements, these services in multiple clouds are expected to be effectively managed in an autonomic and transparent way so that tenants can obtain continuous and efficient services. To this end, this paper proposes an approach based on self‐organizing multi‐agent system to achieving cross‐clouds services management, including the service provision at the tenant‐end and services aggregation at the cloud‐end. In this approach, the clouds services are managed by a series of autonomous agents that are capable of autonomously accessing managed services. They can interact with each other to obtain macro‐level services aggregation in terms of self‐organization to adapt to the changes of both tenants' requirements and cloud services. The paper details the architecture, mechanisms, and algorithms to implement the aggregation and provision of services in cross‐clouds. We also develop relevant cross‐clouds services management platform called as CCloudMan, with which several experiments based on the public data sets have been conducted and the experimental results show the efficiency and usability of our proposed approach. Copyright © 2016 John Wiley & Sons, Ltd.