Analyzing and Improving Load Balancing Algorithm of MooseFS

作者：Zhang Baojun, Ruifang Pan, Fujun Ye · 发表于：International Journal of Grid and Distributed Computing · 年份：2014 · DOI：10.14257/ijgdc.2014.7.4.16 · 研究领域：Cloud Computing and Resource Management、Advanced Data Storage Technologies、Cloud Data Security Solutions

Cloud storage is the development direction of data storage nowadays, and MooseFS provides a good solution for cloud storage. But as a kind of typical distributed file system, the problem of load balancing among chunk servers affects the use of MooseFS. Though MooseFS has provided certain load balancing capability, but it takes into account only the consumed space, and which causes the chunk servers with larger space were overburdened. In this study, we analyzed the load balancing algorithm among chunk servers in MooseFS, and proposed an improved load balancing algorithm. Through the experiment and comparative analysis, the improved algorithm enhances the load balancing performance of MooseFS obviously.