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Optimization Model for Designing Multiple Virtualized Campus Area Networks Coordinating with Wide Area Networks | IEEE Conference Publication | IEEE Xplore

Optimization Model for Designing Multiple Virtualized Campus Area Networks Coordinating with Wide Area Networks


Abstract:

In this paper, we propose an optimization model for designing multiple network functions virtualization (NFV)-based campus area networks (CANs). Organizations, such as un...Show More

Abstract:

In this paper, we propose an optimization model for designing multiple network functions virtualization (NFV)-based campus area networks (CANs). Organizations, such as universities and research institutions, have their own campus information and communication technology (ICT) equipment, and it is desired that this equipment be moved to NFV/cloud data centers of high reliability and resiliency. However, NFV-based CAN is not affordable because the data transmission cost is higher with a public cloud. One solution is for multiple organizations to procure NFV/cloud data center resources together. By doing so, the cost of these resources will be reduced. There are planning issues to solve when choosing optimal NFV/cloud sites in order to make progress on this approach. The proposed model minimizes the total network cost incurred by multiple organizations including the wide area network cost. It is formulated and analyzed by using mixed integer liner programming. The effect of cost minimization was evaluated in a ladder network, and the cost reduced up to 50%. This reduced cost will encourage organizations to deploy NFV-based CANs.
Date of Conference: 20-24 May 2018
Date Added to IEEE Xplore: 30 July 2018
ISBN Information:
Electronic ISSN: 1938-1883
Conference Location: Kansas City, MO, USA

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References

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