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Virtual Network Function Scheduling: A Matching Game Approach
Pham, Chuan,Tran, Nguyen H.,Hong, Choong Seon IEEE 2018 IEEE communications letters Vol.22 No.1
<P>Network function virtualization is a promising technique for telecom providers to efficiently manage network services at low cost. However, existing works mainly focus on resource allocation and thus leave behind an important issue: the virtual network function (VNF) scheduling. Current approaches, e.g., round-robin scheduling or heuristic algorithms, still expose some unsolved issues, such as high computational cost and inability to perform online scheduling. In this letter, we propose a matching-based algorithm to solve the NP-hard VNF scheduling problem. This approach can guarantee a stable scheduling, in which all network services are satisfied with the assignment. Finally, the effectiveness of our method is verified through numerical evaluation, showing that our approach can increase the number of completed VNFs by 36.8% compared with the current round-robin method.</P>
A Markov Approximation-Based Approach for Network Service Chain Embedding
Pham Chuan(팜츄안),Minh N. H. Nguyen(뉴엔후낫민),Choong Seon Hong(홍충선) Korean Institute of Information Scientists and Eng 2017 정보과학회논문지 Vol.44 No.7
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%.