A study on Optimized Method of task scheduling oriented cloud computing environment

摘要

The resources in cloud computing environment are dynamic and different tasks have varied demands for resources. Traditional way for task scheduling cannot effectively schedule the resources according to different QoS requirements. In order to adapt the dynamic task requirements and allocate the resources reasonably, in this paper, we propose seven specific indexes which can be integrated into three indexes called resource cost, load and completion time. At the same time, we establish the model of BP nerve network to evaluate resources by using VC++6.0 development tool and MATLAB simulation software. Experimentation shows that our model can successfully choose the optimal node and provide basis for resources scheduling.