Xu, Zichuan, Zhang, Yutong, Liang, Weifa, Xia, Qiufen, Rana, Omer ORCID: https://orcid.org/0000-0003-3597-2646, 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: | Schools > Computer Science & Informatics |
| Publisher: | ACM |
| ISBN: | 9781450362955 |
| Related URLs: | |
| Last Modified: | 26 Oct 2022 07:22 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/124670 |
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