Prediction-Based Elastic Load Balancing Mechanism in Cloud Environment
Xin Yang, Xiuquan Qiao
Available Online September 2016.
- https://doi.org/10.2991/iccia-16.2016.60How to use a DOI?
- Elastic load balancing; Cloud computing; Machine learning.
- An elastic load balancing mechanism in cloud computing environment is studied in this paper. The mechanism that uses kNN (k-Nearest Neighbors) and Naive Bayes classification algorithms in machine learning can effectively solve the problem of resource allocation lag by predicting the future load trend on the basis of analysis and study of historical data. And taking into account the cross regional nature of the cloud computing environment, applications will be deployed to the computing nodes closer to the user to reduce user access time. Finally, we verify the feasibility and effectiveness of the proposed mechanism through some experiments.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xin Yang AU - Xiuquan Qiao PY - 2016/09 DA - 2016/09 TI - Prediction-Based Elastic Load Balancing Mechanism in Cloud Environment BT - 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016) PB - Atlantis Press SP - 324 EP - 329 SN - 2352-538X UR - https://doi.org/10.2991/iccia-16.2016.60 DO - https://doi.org/10.2991/iccia-16.2016.60 ID - Yang2016/09 ER -