Please use this identifier to cite or link to this item: https://doi.org/10.1109/MASCOTS.2013.65
Title: Resource estimation for network virtualization through users and network interaction analysis
Authors: Wang, B.-C.
Tay, Y.C. 
Golubchik, L.
Keywords: Network Virtualization
Quality of Service
Resource Allocation
Traffic Equilibrium
Virtual Network Embedding
Issue Date: 2013
Source: Wang, B.-C.,Tay, Y.C.,Golubchik, L. (2013). Resource estimation for network virtualization through users and network interaction analysis. Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS : 434-443. ScholarBank@NUS Repository. https://doi.org/10.1109/MASCOTS.2013.65
Abstract: Network virtualization can potentially overcome Internet ossification. This technology lets multiple virtual networks run on a shared physical infrastructure. A key step lies in mapping a virtual network request to a resource allocation in the network substrate. Previous approaches to this network embedding problem assumed the request will ask for specific resources, such as network capacity or computing power. However, the end-user is more interested in performance. This paper therefore considers a different request format, namely a request will ask for a certain quality of service (QoS). The infrastructure provider must then determine the resource allocation necessary for this QoS. In particular, the provider must take into account user reaction to perceived performance and adjust the allocation dynamically. To this end, we propose an estimation mechanism that is based on analyzing the interaction between user behavior and network performance. This approach can dynamically adjust resource estimations when QoS requirements change. Our simulation-based experiments demonstrate that the proposed approach can satisfy user performance requirements through appropriate resource estimation. Moreover, our approach can adjust resource estimations efficiently and accurately. © 2013 IEEE.
Source Title: Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS
URI: http://scholarbank.nus.edu.sg/handle/10635/104620
ISBN: 9780769551029
ISSN: 15267539
DOI: 10.1109/MASCOTS.2013.65
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