Title :
A dynamic load balancing strategy for cloud computing platform based on exponential smoothing forecast
Author :
Ren, Xiaona ; Lin, Rongheng ; Zou, Hua
Author_Institution :
State Key Lab. of Networking & Switching Techonlogy, Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Because of the elastic service capability of cloud computing platform, more and more applications are moved here, which makes efficient load balancing into a bottleneck. Considering the unique features of long-connectivity applications which are increasingly popular nowadays, an improved algorithm is proposed based on the weighted least connection algorithm. In the new algorithm, load and processing power are quantified, and single exponential smoothing forecasting mechanism is added. Finally, the article proves by experiments that the new algorithm can reduce the server load tilt, and improve client service quality effectively.
Keywords :
cloud computing; resource allocation; client service quality improvement; cloud computing platform; dynamic load balancing strategy; elastic service capability; long-connectivity applications; server load tilt reduction; single exponential smoothing forecasting mechanism; weighted least connection algorithm; Algorithm design and analysis; Forecasting; Heuristic algorithms; Load management; Servers; Smoothing methods; Training; cloud computing; exponential smoothing forecast; load balancing; long connection;
Conference_Titel :
Cloud Computing and Intelligence Systems (CCIS), 2011 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-61284-203-5
DOI :
10.1109/CCIS.2011.6045063
