By Topic

Load balancing algorithm based on time series prediction of packet loss rate

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Cai Ling ; Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang ; Jinkuan Wang ; Cuirong Wang ; Xu Peng

This paper proposes a new load balancing mechanism, called PPLR (prediction packet loss rate), which is based on time series prediction. Load balancing is needed in many fields; however, current approaches have problems such as lacking of preparing for sudden spikes. In this paper, we describe how PPLR dynamically predicts loss levels over all available network paths and adjust the allocation proportion of packets for next prediction period. We present our simulation work using NS-2 and discuss performance comparison between PPLR and ECMP mechanisms. The results show that PPLR not only significantly reduces the packet loss rate, but also has a good effect on the packet delay.

Published in:

Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on

Date of Conference:

25-27 May 2009