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A dynamic load balancing strategy for cloud computing platform based on exponential smoothing forecast

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3 Author(s)
Xiaona Ren ; State Key Laboratory of Networking and Switching Techonlogy Beijing University of Posts and Telecommunications, Beijing ; Rongheng Lin ; Hua Zou

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.

Published in:

2011 IEEE International Conference on Cloud Computing and Intelligence Systems

Date of Conference:

15-17 Sept. 2011