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NFV-enabled multicasting in mobile edge clouds with resource sharing

Xu, Zichuan, Zhang, Yutong, Liang, Weifa, Xia, Qiufen, Rana, Omer, Galis, Alex, Wu, Guowei and Zhou, Pan 2019. NFV-enabled multicasting in mobile edge clouds with resource sharing. Presented at: ICPP 2019: 48th International Conference on Parallel Processing, Kyoto, Japan, 5-8 August 2019. ICPP 2019: Proceedings of the 48th International Conference on Parallel Processing. New York: ACM, 10.1145/3337821.3337825

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Abstract

Driven by stringent delay requirements of mobile applications, the mobile edge cloud has emerged as a major platform to offer low latency network services from the edge of networks. Most conventional network services are implemented via hardware-based network functions, such as firewalls and load balancers, to guarantee service security and performance. However, implementing such hardware-based network functions incurs high purchase and maintenance costs. Network function virtualization (NFV) as a promising technology exhibits great potential to reduce the purchase and maintenance costs by implementing network functions as software in virtual machines (VMs). In this paper, we consider a fundamental problem of NFV-enabled multicasting in a mobile edge cloud, where each multicast request requires to process its traffic in a specified sequence of network functions (referred to as a service chain) before the traffic from a source to a set of destinations. We devise a provable approximation algorithm with an approximation ratio for the problem if requests do not have delay requirements; otherwise, we propose an efficient heuristic for it. We also evaluate the performance of the proposed algorithms against the state-of-the-art NFV-enabled multicasting algorithms, and results show that our algorithms outperform their counterparts.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Publisher: ACM
ISBN: 9781450362955
Related URLs:
Last Modified: 05 Aug 2019 12:45
URI: http://orca.cf.ac.uk/id/eprint/124670

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