QoS-aware service composition for converged network-cloud service provisioning

Jun Huang, Guoquan Liu, Qiang Duan, Yuhong Yan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Scopus citations

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 network - Cloud convergence lies in QoS-aware composition of network and Cloud services. In this paper, we propose a QoS-aware service composition method to tackle 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 develop an 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 simulation experiments and the obtained results indicate that the proposed method achieves better performance in service composition than the best currently available MCOP approach.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 IEEE International Conference on Services Computing, SCC 2014
EditorsElena Ferrari, Ravindran Kaliappa, Patrick C.K. Hung
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages67-74
Number of pages8
ISBN (Electronic)9781479950669
DOIs
StatePublished - Oct 17 2014
Event11th IEEE International Conference on Services Computing, SCC 2014 - Anchorage, United States
Duration: Jun 27 2014Jul 2 2014

Publication series

NameProceedings - 2014 IEEE International Conference on Services Computing, SCC 2014

Other

Other11th IEEE International Conference on Services Computing, SCC 2014
CountryUnited States
CityAnchorage
Period6/27/147/2/14

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Software
  • Hardware and Architecture

Fingerprint Dive into the research topics of 'QoS-aware service composition for converged network-cloud service provisioning'. Together they form a unique fingerprint.

Cite this