期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2016
卷号：32
期号：1
页码：54-61
DOI：10.14445/22312803/IJCTT-V32P110
出版社：Seventh Sense Research Group
摘要：Cloud mobile applications assure flexible services to several business customer requirements which are isolated from the infrastructure form. However, elastic application is not effective on the transparent use of cloud mobile resources where the components are rearranged based on the workload of business logic. While public cloud integrates all the resource strategies on scientific workloads, the CPU load is raised and is not effective in solving the optimization problem in various elasticity cloud applications. In this work to reduce the CPU load in the cloud elasticity environment, Dynamic Prioritized Load Balanced Round Robin (DPLBRR) framework is constructed. The Load Balanced Round Robin (LBRR) algorithm in DPLBRR framework mainly focused on distributing the load to the CPU aiming at balancing the CPU load rate. The CPU in turn executes different types of requests from various cloud mobile environments by allocating each virtual machine in a cyclic order with the objective of reducing the latency time. The LBRR algorithm added a Dynamic Priority Load Scheduler into the system for reducing the memory consumption and solves the optimization problem in the elasticity cloud services using priority value. The priority value in the Dynamic Prioritized Load Balanced Round Robin framework is evaluated based on the active priority concept aiming at reducing the memory consumption. The active priority finds the maximum and the next maximum priority nodes for easy scheduling in the cloud mobile environments and therefore improving the efficiency of scheduling the tasks in the elasticity cloud services. Experimental results demonstrate that the proposed framework achieves better performance by improving the scheduling efficiency and balances the CPU load rate compared to the stateoftheart works.
