Threshold-based load balancing algorithm for Big Data on a Cloud environment
Yassir Samadi, Mostapha Zbakh · 2017
In this paper, we discuss a load balancing strategy in heterogeneous cloud environments. Load balancing of data processing takes a very important place in cloud computing for several years. Load balancing on cloud systems is critical problem that is difficult to cope with, especially on the emerging heterogeneous clusters. In this aspect, we propose a threshold-based load balancing algorithm that balances the load among datacenters in cloud environments as well as minimizing remote communication among datacenters. The proposed approach is divided into two phases. Firstly, we specify the load threshold of each datacenter based on its processing speed and storage capacity. Secondly, we maintain load balancing among datacenters based on this threshold while the proposed approach takes into consideration the heterogeneity of datacenters. The results show that our approach improve efficiently the load balancing among datacenters.