QoS-aware and Reliable Traffic Steering for Service Function Chaining in Mobile Networks

Ruozhou Yu, Guoliang Xue, Xiang Zhang

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

The ever-increasing mobile traffic has inspired deployment of capacity and performance enhancing network services within mobile networks. Owing to recent advances in network function virtualization, such network services can be flexibly and cost-efficiently deployed in the mobile network as software components, avoiding the need for costly hardware deployment. Nevertheless, this complicates network planning by bringing the need for service function chaining. In this paper, we study mobile network planning through a software-defined approach, considering both quality-of-service and reliability of different classes of traffic. We define and formulate the traffic steering problem for service function chaining in mobile networks, which turns out to be NP-hard. We then develop a fast approximation scheme for the problem, and evaluate its performance via extensive simulation experiments. The results show that our algorithm is near-optimal, and achieves much better performance compared to baseline algorithms.

Original languageEnglish (US)
JournalIEEE Journal on Selected Areas in Communications
DOIs
StateAccepted/In press - Oct 4 2017

Fingerprint

Telecommunication traffic
Wireless networks
Quality of service
Planning
Network performance
Computer hardware
Costs
Experiments

Keywords

  • Logic gates
  • Mobile communication
  • Mobile computing
  • mobile networks
  • Optimization
  • Quality of service
  • quality-of-service
  • Reliability
  • reliability
  • Security
  • service function chaining
  • Software-defined networking

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

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abstract = "The ever-increasing mobile traffic has inspired deployment of capacity and performance enhancing network services within mobile networks. Owing to recent advances in network function virtualization, such network services can be flexibly and cost-efficiently deployed in the mobile network as software components, avoiding the need for costly hardware deployment. Nevertheless, this complicates network planning by bringing the need for service function chaining. In this paper, we study mobile network planning through a software-defined approach, considering both quality-of-service and reliability of different classes of traffic. We define and formulate the traffic steering problem for service function chaining in mobile networks, which turns out to be NP-hard. We then develop a fast approximation scheme for the problem, and evaluate its performance via extensive simulation experiments. The results show that our algorithm is near-optimal, and achieves much better performance compared to baseline algorithms.",
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