Holistic modeling and performance evaluation for converged network-cloud service provisioning

Qiang Duan, Zhen Zheng

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

Abstract

The crucial role that computer networks play in Cloud computing requires a holistic vision of both networking and computing resources that leads to a convergence of network and Cloud service provisioning. Performance evaluation on converged network-Cloud service provisioning faces some new challenges that are brought in by key features of Cloud computing, such as resource virtualization and service-orientation. In order to address the challenges, we explored application of network calculus theory in analyzing network-Cloud service performance by proposing a novel profile-based modeling approach. In this paper we further extend this approach by particularly considering the impact of data transform between networking and computing systems in network-Cloud service provisioning, thus achieving holistic modeling and analysis on end-to-end service performance across the network and Cloud domains. The developed analytic method is general and applicable to a wide variety of network-Cloud services. The results obtained in this paper also provide useful guidelines for federated management of networking and computing resources for achieving service performance guarantees.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 IEEE 28th International Conference on Advanced Information Networking and Applications, IEEE AINA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages978-984
Number of pages7
ISBN (Print)9781479936298
DOIs
StatePublished - 2014
Event28th IEEE International Conference on Advanced Information Networking and Applications, IEEE AINA 2014 - Victoria, BC, Canada
Duration: May 13 2014May 16 2014

Other

Other28th IEEE International Conference on Advanced Information Networking and Applications, IEEE AINA 2014
CountryCanada
CityVictoria, BC
Period5/13/145/16/14

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Cloud computing
Computer networks
Virtualization

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Duan, Q., & Zheng, Z. (2014). Holistic modeling and performance evaluation for converged network-cloud service provisioning. In Proceedings - 2014 IEEE 28th International Conference on Advanced Information Networking and Applications, IEEE AINA 2014 (pp. 978-984). [6838770] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AINA.2014.10
Duan, Qiang ; Zheng, Zhen. / Holistic modeling and performance evaluation for converged network-cloud service provisioning. Proceedings - 2014 IEEE 28th International Conference on Advanced Information Networking and Applications, IEEE AINA 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 978-984
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Duan, Q & Zheng, Z 2014, Holistic modeling and performance evaluation for converged network-cloud service provisioning. in Proceedings - 2014 IEEE 28th International Conference on Advanced Information Networking and Applications, IEEE AINA 2014., 6838770, Institute of Electrical and Electronics Engineers Inc., pp. 978-984, 28th IEEE International Conference on Advanced Information Networking and Applications, IEEE AINA 2014, Victoria, BC, Canada, 5/13/14. https://doi.org/10.1109/AINA.2014.10

Holistic modeling and performance evaluation for converged network-cloud service provisioning. / Duan, Qiang; Zheng, Zhen.

Proceedings - 2014 IEEE 28th International Conference on Advanced Information Networking and Applications, IEEE AINA 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 978-984 6838770.

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

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Duan Q, Zheng Z. Holistic modeling and performance evaluation for converged network-cloud service provisioning. In Proceedings - 2014 IEEE 28th International Conference on Advanced Information Networking and Applications, IEEE AINA 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 978-984. 6838770 https://doi.org/10.1109/AINA.2014.10