TY - JOUR
T1 - An Adaptive and Lightweight Update Mechanism for SDN
AU - Yu, Changhe
AU - Lan, Julong
AU - Guo, Zehua
AU - Hu, Yuxiang
AU - Baker, Thar
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2019
Y1 - 2019
N2 - To improve the network resources utilization and the quality of service, the provision of an adaptive and customizable network service is deemed a feasible approach. In this paper, based on the quality of service (QoS)-aware traffic classification and real-time network status, an adaptive update mechanism is presented to change the traditional rigid update techniques in software-defined networking. The developed update mechanism aims at abstracting the common update mechanism into update operations and calculates the update sequence on the operation granularity. The mechanism has three work modes, and each mode has a corresponding algorithm. It can adjust the work modes adaptively based on the network condition and the flow QoS requirements to improve the performance. The experimental results demonstrate that the three work modes can achieve optimal performance in ternary content addressable memory (TCAM) overhead reduction, delay, and bandwidth consumption, respectively. For example, when the tri-fusion work mode is leveraged, it provides at least an 85% reduction of the additional TCAM overhead and improves by at least 9%, 65%, and 82% compared to other work modes and the compared algorithms.
AB - To improve the network resources utilization and the quality of service, the provision of an adaptive and customizable network service is deemed a feasible approach. In this paper, based on the quality of service (QoS)-aware traffic classification and real-time network status, an adaptive update mechanism is presented to change the traditional rigid update techniques in software-defined networking. The developed update mechanism aims at abstracting the common update mechanism into update operations and calculates the update sequence on the operation granularity. The mechanism has three work modes, and each mode has a corresponding algorithm. It can adjust the work modes adaptively based on the network condition and the flow QoS requirements to improve the performance. The experimental results demonstrate that the three work modes can achieve optimal performance in ternary content addressable memory (TCAM) overhead reduction, delay, and bandwidth consumption, respectively. For example, when the tri-fusion work mode is leveraged, it provides at least an 85% reduction of the additional TCAM overhead and improves by at least 9%, 65%, and 82% compared to other work modes and the compared algorithms.
KW - SDN
KW - adaptive mechanism
KW - network update
UR - http://www.scopus.com/inward/record.url?scp=85061305700&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2019.2893058
DO - 10.1109/ACCESS.2019.2893058
M3 - Article
AN - SCOPUS:85061305700
SN - 2169-3536
VL - 7
SP - 12914
EP - 12927
JO - IEEE Access
JF - IEEE Access
M1 - 8624382
ER -