A Reliability-Aware Approach for Resource Efficient Virtual Network Function Deployment

Jian Sun, Guangyang Zhu, Gang Sun, Dan Liao, Yao Li, Arun Kumar Sangaiah, Muthu Ramachandran, Victor Chang

    Research output: Contribution to journalArticlepeer-review


    Network function virtualization (NFV) is a promising technique aimed at reducing capital expenditures (CAPEX) and operating expenditures (OPEX), and improving the flexibility and scalability of an entire network. In contrast to traditional dispatching, NFV can separate network functions from proprietary infrastructure and gather these functions into a resource pool that can efficiently modify and adjust service function chains (SFCs). However, this emerging technique has some challenges. A major problem is reliability, which involves ensuring the availability of deployed SFCs, namely, the probability of successfully chaining a series of virtual network functions while considering both the feasibility and the specific requirements of clients, because the substrate network remains vulnerable to earthquakes, floods, and other natural disasters. Based on the premise of users' demands for SFC requirements, we present an ensure reliability cost saving algorithm to reduce the CAPEX and OPEX of telecommunication service providers by reducing the reliability of the SFC deployments. The results of extensive experiments indicate that the proposed algorithms perform efficiently in terms of the blocking ratio, resource consumption, time consumption, and the first block.
    Original languageEnglish
    Pages (from-to)18238-18250
    Number of pages13
    JournalIEEE Access
    Publication statusPublished - 13 Mar 2018


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