Paper Info
Title
Converged Network--Cloud Service Composition with End-to-End Performance Guarantee
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.
Year
DOI
Venue
2018
10.1109/TCC.2015.2491939
IEEE Trans. Cloud Computing
Keywords
Field
DocType
Cloud computing,Network-as-a-Service (NaaS),Quality-of- Service (QoS),Service-Oriented Architecture (SOA),service composition
Mobile QoS,Computer science,Quality of service,Computer network,Provisioning,Utility computing,Service level requirement,Data as a service,Customer Service Assurance,Cloud computing,Distributed computing
Journal
Volume
Issue
ISSN
PP
99
2168-7161
Citations 
PageRank 
References 
5
0.47
26
Authors
4
Name
Order
Citations
PageRank
Jun Huang139445.19
Qiang Duan232737.37
Song Guo33431278.71
Shui Yu42365208.84