TY - JOUR
T1 - QoS-aware and reliable traffic steering for service function chaining in mobile networks
AU - Yu, Ruozhou
AU - Xue, Guoliang
AU - Zhang, Xiang
N1 - Funding Information:
Manuscript received April 1, 2017; revised September 12, 2017; accepted September 25, 2017. Date of publication October 5, 2017; date of current version December 1, 2017. This work was supported by NSF under Grant 1461886 and Grant 1704092. (Corresponding author: Guoliang Xue.) The authors are all with the School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ 85287 USA (e-mail: ruozhouy@asu.edu; xue@asu.edu; xzhan229@asu.edu).
Publisher Copyright:
© 1983-2012 IEEE.
PY - 2017/11
Y1 - 2017/11
N2 - 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 with baseline algorithms.
AB - 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 with baseline algorithms.
KW - Mobile networks
KW - Quality-of-service
KW - Reliability
KW - Service function chaining
KW - Software-defined networking
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U2 - 10.1109/JSAC.2017.2760158
DO - 10.1109/JSAC.2017.2760158
M3 - Article
AN - SCOPUS:85031765420
SN - 0733-8716
VL - 35
SP - 2522
EP - 2531
JO - IEEE Journal on Selected Areas in Communications
JF - IEEE Journal on Selected Areas in Communications
IS - 11
M1 - 8058433
ER -