Paper Info
Title
NFV-Enabled Multicasting in Mobile Edge Clouds with Resource Sharing
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.
Year
DOI
Field
2019
10.1145/3337821.3337825
Approximation algorithm,Heuristic,Virtual machine,Load balancing (computing),Computer science,Multicast,Latency (engineering),Shared resource,Cloud computing,Distributed computing
DocType
ISSN
ISBN
Conference
978-1-4503-6295-5
978-1-4503-6295-5
Citations 
PageRank 
References 
1
0.35
0
Authors
8
Name
Order
Citations
PageRank
Zichuan Xu184.85
Yutong Zhang210.35
Weifa Liang31676134.75
Qiufen Xia484.84
Omer Rana510.35
Alex Galis6131.94
Guowei Wu77514.81
Pan Zhou812316.76