Towards making network function virtualization a cloud computing service

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• dc.contributor.author Rankothge, Windhyaca
• dc.contributor.author Ma, Jiefeica
• dc.contributor.author Le, Franckca
• dc.contributor.author Russo, Alessandraca
• dc.contributor.author Lobo, Jorgeca
• dc.date.accessioned 2016-03-31T07:05:58Z
• dc.date.available 2016-03-31T07:05:58Z
• dc.date.issued 2015ca
• dc.description.abstract By allowing network functions to be virtualized and run on commodity hardware, NFV enables new properties (e.g., elastic scaling), and new service models for Service Providers, Enterprises, and Telecommunication Service Providers. However, for NFV to be offered as a service, several research problems still need to be addressed. In this paper, we focus and propose a new service chaining algorithm. Existing solutions suffer two main limitations: First, existing proposals often rely on mixed Integer Linear Programming to optimize VM allocation and network management, but our experiments show that such approach is too slow taking hours to find a solution. Second, although existing proposals have considered the VM placement and network configuration jointly, they frequently assume the network configuration cannot be changed. Instead, we believe that both computing and network resources should be able to be updated concurrently for increased flexibility and to satisfy SLA and Qos requirements. As such, we formulate and propose a Genetic Algorithm based approach to solve the VM allocation and network management problem. We built an experimental NFV platform, and run a set of experiments. The results show that our proposed GA approach can compute configurations to to three orders of magnitude faster than traditional solutions.
• dc.description.sponsorship This research was sponsored by the U.S. Army Research Laboratory and the U.K. Ministry of Defence and was accomplished under Agreement Number W911NF-06-3-0001. The views and conclusions contained in this document are those of the author(s) and should not be interpreted as representing the official policies, either expressed or implied, of the U.S. Army Research Laboratory, the U.S. Government, the U.K. Ministry of Defence or the U.K. Government. The U.S. and U.K. Governments are authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation here on.
• dc.format.mimetype application/pdfca
• dc.identifier.citation Rankothge W, Ma J, Le F, Russo A, Lobo J. Towards making network function virtualization a cloud computing service. In: Proceedings of the/n2015 IFIP/IEEE International Symposium on Integrated Network Management (IM); 2015 May 11-15; Ottawa, Canada. IEEE; 2015. p. 89-97. DOI 10.1109/INM.2015.7140280ca
• dc.identifier.doi http://dx.doi.org/10.1109/INM.2015.7140280
• dc.identifier.uri http://hdl.handle.net/10230/26035
• dc.language.iso engca
• dc.publisher Institute of Electrical and Electronics Engineers (IEEE)ca
• dc.relation.ispartof Proceedings of the 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM); 2015 May 11-15; Ottawa, Canada. IEEE; 2015. p. 89-97.
• dc.rights © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works./nThe final published article can be found at http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=7140280ca
• dc.rights.accessRights info:eu-repo/semantics/openAccessca
• dc.title Towards making network function virtualization a cloud computing serviceca
• dc.type info:eu-repo/semantics/conferenceObjectca
• dc.type.version info:eu-repo/semantics/acceptedVersionca