Research Area:  Cloud Computing
To improve the performance of cloud computing, there are many parameters and issues that we should consider, including resource allocation, resource responsiveness, connectivity to resources, unused resources exploration, corresponding resource mapping and planning for resource. The planning for the use of resources can be based on many kinds of parameters, and the service response time is one of them. The users can easily figure out the response time of their requests, and it becomes one of the important QoSs. When we discover and explore more on this, response time can provide solutions for the distribution, the load balancing of resources with better efficiency. This is one of the most promising research directions for improving the cloud technology. Therefore, this paper proposes a load balancing algorithm based on response time of requests on cloud with the name APRA (ARIMA Prediction of Response Time Algorithm), the main idea is to use ARIMA algorithms to predict the coming response time, thus giving a better way of effectively resolving resource allocation with threshold value. The experiment result outcomes are potential and valuable for load balancing with predicted response time, it shows that prediction is a great direction for load balancing.
Author(s) Name:  Nguyen Xuan Phi, Le Ngoc Hieu, Tran Cong Hung
Journal name:  International Journal on Cloud Computing: Services and Architecture
Publisher name:  IJCCSA
Volume Information:  Vol. 10, No.3, June 2020
Paper Link:   https://tranconghung.com/File_Upload/Newspaper/109._10320ijccsa02_03072020.pdf