Cost Efficiency of SDN-enabled Service Function Chaining. Issue 5 (8th August 2016)

• Record Type: Journal Article
• Authors: Zhang, Nan; Hämmäinen, Heikki; Flinck, Hannu
• Editors: Blackman, Colin; Blackman, Colin
• Is Part Of: Info. Volume 18:Issue 5(2016)
• Publication Date: 2016-08-08
• Subjects: Telecommunication -- Periodicals; Mass media -- Periodicals; Information policy -- Periodicals; Information technology -- Periodicals; 384.04105
• DOI: 10.1108/info-03-2016-0011
• Languages: English
• ISSNs: 1463-6697

Abstract

Abstract : Purpose: This paper models the cost efficiency of service function chaining (SFC) in software-defined LTE networks and compares it with traditional LTE networks. Design/methodology/approach: Both the capital (CAPEX) and operational expenditures (OPEX) of the SFC are quantified using an average Finnish mobile network in 2015 as a reference. The modeling inputs are gathered through semi-structured interviews with Finnish mobile network operators (MNO) and network infrastructure vendors operating in the Finnish market. Findings: The modeling shows that SDN can reduce SFC related CAPEX and OPEX significantly for an average Finnish MNO in 2015. The analysis on different types of MNOs implies that a MNO without DPI sees the biggest cost savings compared to other MNO types. Practical implications: Service function investments typically amount to 5-20% of the overall MNO network investments, and savings in SFC may impact highly on the cost structure of a MNO. In addition, SFC acts as both a business interface, which connects the local MNOs with global Internet service providers, and as a technical interface, where the 3GPP and IETF standards meet. Thus, the cost efficient operation of SFC may bring competitive advantages to the MNO. Originality/value: The results show solid basis of network related cost savings in SFC and contributes to MNOs making cost conscious investment decisions. In addition, the results act as a baseline scenario for further studies that combine SDN with virtualization to re-optimize network service functions.