Converged Network-Cloud Service Composition with End-to-End Performance Guarantee

Huang, J; Duan, Q; Guo, S; Yan, Y; Yu, S

Converged Network-Cloud Service Composition with End-to-End Performance Guarantee

Huang, J Duan, Q Guo, S Yan, Y Yu, S

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Cloud Computing, 2018, 6, (2), pp. 545-557
Issue Date:: 2018-04-01

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Field	Value	Language
dc.contributor.author	Huang, J
dc.contributor.author	Duan, Q
dc.contributor.author	Guo, S
dc.contributor.author	Yan, Y
dc.contributor.author	Yu, S https://orcid.org/0000-0003-4485-6743
dc.date.accessioned	2021-04-29T00:09:37Z
dc.date.available	2021-04-29T00:09:37Z
dc.date.issued	2018-04-01
dc.identifier.citation	IEEE Transactions on Cloud Computing, 2018, 6, (2), pp. 545-557
dc.identifier.issn	2168-7161
dc.identifier.issn	2168-7161
dc.identifier.uri	http://hdl.handle.net/10453/148521
dc.description.abstract	The crucial role of networking in cloud computing calls for federated management of both computing and networking resources for end-to-end service provisioning. Application of the Service-Oriented Architecture (SOA) in both cloud computing and networking enables a convergence of network and cloud service provisioning. One of the key challenges to high performance converged network-cloud service provisioning lies in composition of network and cloud services with end-to-end performance guarantee. In this paper, we propose a QoS-aware service composition approach to tackling this challenging issue. We first present a system model for network-cloud service composition and formulate the service composition problem as a variant of Multi-Constrained Optimal Path (MCOP) problem. We then propose an approximation algorithm to solve the problem and give theoretical analysis on properties of the algorithm to show its effectiveness and efficiency for QoS-aware network-cloud service composition. Performance of the proposed algorithm is evaluated through extensive experiments and the obtained results indicate that the proposed method achieves better performance in service composition than the best current MCOP approaches.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Transactions on Cloud Computing
dc.relation.isbasedon	10.1109/TCC.2015.2491939
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0805 Distributed Computing, 0806 Information Systems
dc.title	Converged Network-Cloud Service Composition with End-to-End Performance Guarantee
dc.type	Journal Article
utslib.citation.volume	6
utslib.for	0805 Distributed Computing
utslib.for	0806 Information Systems
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	*
dc.date.updated	2021-04-29T00:09:36Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	6
utslib.citation.issue	2

Abstract:

The crucial role of networking in cloud computing calls for federated management of both computing and networking resources for end-to-end service provisioning. Application of the Service-Oriented Architecture (SOA) in both cloud computing and networking enables a convergence of network and cloud service provisioning. One of the key challenges to high performance converged network-cloud service provisioning lies in composition of network and cloud services with end-to-end performance guarantee. In this paper, we propose a QoS-aware service composition approach to tackling this challenging issue. We first present a system model for network-cloud service composition and formulate the service composition problem as a variant of Multi-Constrained Optimal Path (MCOP) problem. We then propose an approximation algorithm to solve the problem and give theoretical analysis on properties of the algorithm to show its effectiveness and efficiency for QoS-aware network-cloud service composition. Performance of the proposed algorithm is evaluated through extensive experiments and the obtained results indicate that the proposed method achieves better performance in service composition than the best current MCOP approaches.

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http://hdl.handle.net/10453/148521