@inproceedings{a37da4c3afc2430291beeb9335ca14e6,
title = "Traffic-aware load balancing for M2M networks using SDN",
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 = "Load balancing, M2M networks, Software-defined networking",
author = "Chen, {Yu Jia} and Shen, {Yi Hsin} and Wang, {Li Chun}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; null ; Conference date: 15-12-2014 Through 18-12-2014",
year = "2015",
month = feb,
day = "9",
doi = "10.1109/CloudCom.2014.37",
language = "???core.languages.en_GB???",
series = "Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom",
publisher = "IEEE Computer Society",
number = "February",
pages = "668--671",
booktitle = "Proceedings - 2014 IEEE 6th International Conference on Cloud Computing Technology and Science, CloudCom 2014",
edition = "February",
}