Description

Virtual machine (VM) technology being greater and fully developed, compute resources in cloud systems can be partitioned in fine granularity and allocated on demand, which contributes three technologies such as, Formulating a deadline-driven resource allocation problem based on the cloud environment facilitated with VM resource isolation technology, and also to minimize users‘ payment. Analysing the upper bound of task execution length based on the possibly inaccurate workload prediction, it further proposed an error-tolerant method to guarantee task‘s completion within its deadline. Validating its effectiveness over a real VM-facilitated cluster environment under different levels of competition