A Markov Approximation-Based Approach for Network Service Chain Embedding 


Vol. 44,  No. 7, pp. 719-725, Jul.  2017
10.5626/JOK.2017.44.7.719


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  Abstract

To reduce management costs and improve performance, the European Telecommunication Standards Institute (ETSI) introduced the concept of network function virtualization (NFV), which can implement network functions (NFs) on cloud/datacenters. Within the NFV architecture, NFs can share physical resources by hosting NFs on physical nodes (commodity servers). For network service providers who support NFV architectures, an efficient resource allocation method finds utility in being able to reduce operating expenses (OPEX) and capital expenses (CAPEX). Thus, in this paper, we analyzed the network service chain embedding problem via an optimization formulation and found a close-optimal solution based on the Markov approximation framework. Our simulation results show that our approach could increases on average CPU utilization by up to 73% and link utilization up to 53%.


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  Cite this article

[IEEE Style]

P. Chuan, M. N. H. Nguyen, C. S. Hong, "A Markov Approximation-Based Approach for Network Service Chain Embedding," Journal of KIISE, JOK, vol. 44, no. 7, pp. 719-725, 2017. DOI: 10.5626/JOK.2017.44.7.719.


[ACM Style]

Pham Chuan, Minh N. H. Nguyen, and Choong Seon Hong. 2017. A Markov Approximation-Based Approach for Network Service Chain Embedding. Journal of KIISE, JOK, 44, 7, (2017), 719-725. DOI: 10.5626/JOK.2017.44.7.719.


[KCI Style]

Pham Chuan, Minh N. H. Nguyen, Choong Seon Hong, "A Markov Approximation-Based Approach for Network Service Chain Embedding," 한국정보과학회 논문지, 제44권, 제7호, 719~725쪽, 2017. DOI: 10.5626/JOK.2017.44.7.719.


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