Enhanced Load Balancing in Clustered Cloud-based Multimedia System
10.14445/22315381/IJETT-V29P234, Suresh Babu Kuntumalla, Lakshumaiah Maddigalla · International Journal of Engineering Trends and Technology · 2015
In any typical centralized hierarchy cloud-based multimedia system (CMS) contains a resource manager, cluster heads and clustered servers. All multimedia service requests of clients, first directed to resource manager then it forwards to appropriate cluster head based on the task characteristic and then again cluster head forwards the client task to the one of the its clustered servers.. In such a complex CMS, obviously, there are prominent design challenges to overcome load balancing issues and enhance the cost effectiveness in transmitting multimedia content between CMS and clients' systems without exceeding maximum load capacity of cluster server. Unlike to earlier paper works, this research work considered additional real time CMS use cases with performance monitoring at various time periods and modelled them into a mathematical optimization program, which intern to derive a better approach to utilize maximum capacity of servers performance and also ensuring not to exceed the cluster server load. As a result, this enhanced work got resolved runtime issues of load balancing by mathematical derived models. The imitation of intended mathematical optimization programs over CMS multi-server load balancing resulted significantly enhanced.