Stochastic based load balancing mechanism for non-iterative optimization of traffic in cloud
Suriya Begum, C S R Prashanth · 2016
A precise Quality-of-Service in cloud can be offered if the traffic management uncertainty issues are addressed properly. It is also found that developing a cost-efficient load balancing technique in cloud environment is still an unsolved problem after reviewing the work done in load balancing till date. Hence, we introduce a novel algorithm called as SBLB i.e. Stochastic Based Load balancing that applies non-iterative and state-based approach of optimization to map the appropriate resources to be allocated for virtual machines dynamically. SBLB performs resource availability and maps state-transition approach to address the complexity of resource allocation towards the virtual machines based on its states (overloaded, under-loaded, and normal). The comparative study outcome shows a minimized response time, increased number response processed per seconds, and lower instances of virtual machine in contrast with existing system.