Detection of transmissible service failure in distributed service-based systems

Ye, D; He, Q; Wang, Y; Yang, Y

Detection of transmissible service failure in distributed service-based systems

Ye, D He, Q Wang, Y Yang, Y

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Publication Type:: Journal Article
Citation:: Journal of Parallel and Distributed Computing, 2018, 119 pp. 36 - 49
Issue Date:: 2018-09-01

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Field	Value	Language
dc.contributor.author	Ye, D	en_US
dc.contributor.author	He, Q	en_US
dc.contributor.author	Wang, Y	en_US
dc.contributor.author	Yang, Y	en_US
dc.date.issued	2018-09-01	en_US
dc.identifier.citation	Journal of Parallel and Distributed Computing, 2018, 119 pp. 36 - 49	en_US
dc.identifier.issn	0743-7315	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133044
dc.description.abstract	© 2018 Elsevier Inc. Detection of service failure, also known as service monitoring, is an important research problem in distributed service-based systems (SBSs). Failure of services is a transmissible threat in distributed SBSs, because services in distributed SBSs may have dependent relationships among them and thus the failure of one service may cause the failure of other services. Therefore, such transmissible service failure has to be detected in a timely manner whereas the corresponding resource consumption should be as little as possible. Most of the existing service monitoring approaches are centralised which suffer the potential of single point of failure and are not suitable in large scale distributed SBSs. Moreover, these centralised approaches are designed only in single-tenant SBSs. Nowadays, the scale of distributed SBSs is extremely large, i.e., including a large number of services and clients. Thus, it is essential for monitoring approaches to work well in large scale distributed SBSs and support multi-tenancy. Towards this end, in this paper, a novel agent-based decentralised service monitoring approach is developed in distributed SBSs. Compared to the centralised approaches, the proposed decentralised approach can avoid the single point of failure and can balance the computation over the monitoring agents. Also, unlike existing approaches which consider only single tenancy, the proposed approach takes multi-tenancy into account in distributed SBSs. Experimental results demonstrate that the proposed approach can respond as quickly as centralised approaches with much less computation overhead.	en_US
dc.relation.ispartof	Journal of Parallel and Distributed Computing	en_US
dc.relation.isbasedon	10.1016/j.jpdc.2018.03.005	en_US
dc.subject.classification	Distributed Computing	en_US
dc.title	Detection of transmissible service failure in distributed service-based systems	en_US
dc.type	Journal Article
utslib.citation.volume	119	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	0803 Computer Software	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	119	en_US

Abstract:

© 2018 Elsevier Inc. Detection of service failure, also known as service monitoring, is an important research problem in distributed service-based systems (SBSs). Failure of services is a transmissible threat in distributed SBSs, because services in distributed SBSs may have dependent relationships among them and thus the failure of one service may cause the failure of other services. Therefore, such transmissible service failure has to be detected in a timely manner whereas the corresponding resource consumption should be as little as possible. Most of the existing service monitoring approaches are centralised which suffer the potential of single point of failure and are not suitable in large scale distributed SBSs. Moreover, these centralised approaches are designed only in single-tenant SBSs. Nowadays, the scale of distributed SBSs is extremely large, i.e., including a large number of services and clients. Thus, it is essential for monitoring approaches to work well in large scale distributed SBSs and support multi-tenancy. Towards this end, in this paper, a novel agent-based decentralised service monitoring approach is developed in distributed SBSs. Compared to the centralised approaches, the proposed decentralised approach can avoid the single point of failure and can balance the computation over the monitoring agents. Also, unlike existing approaches which consider only single tenancy, the proposed approach takes multi-tenancy into account in distributed SBSs. Experimental results demonstrate that the proposed approach can respond as quickly as centralised approaches with much less computation overhead.

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http://hdl.handle.net/10453/133044