Title :
Traffic-Aware Load Balancing for M2M Networks Using SDN
Author :
Yu-Jia Chen ; Yi-Hsin Shen ; Li-Chun Wang
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
To relieve the heavy loading caused by burst machine-to-machine (M2M) traffic and also satisfy various quality of service (QoS) requirements, load balancing techniques are often introduced in M2M networks. In recent years, software-defined networking (SDN) has shown the possibility of improving load balancing technique. In this paper, we propose traffic-aware load balancing mechanism for M2M networks using SDN. The proposed mechanism can satisfy different QoS requirements of M2M traffic by instant traffic identification and dynamic traffic rerouting, which leverage the capability of SDN to dynamically monitor and control the entire network.
Keywords :
quality of service; resource allocation; software defined networking; telecommunication network routing; telecommunication traffic; M2M networks; QoS requirements; SDN; burst machine-to-machine traffic; dynamic traffic rerouting; heavy loading; instant traffic identification; quality of service requirements; software-defined networking; traffic-aware load balancing mechanism; Control systems; Delays; Load management; Loading; Monitoring; Quality of service; Servers; Load balancing; M2M networks; Software-defined networking;
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on
Conference_Location :
Singapore
DOI :
10.1109/CloudCom.2014.37