Continuous resource allocation in cloud computing

With the advent of cloud computing, more and more enterprises and individuals are motivated to outsource their local complex applications into the cloud for its great flexibility and economic savings. For cloud server, however, the problem of how to optimize scheduling cloud resources to maximize the resource utilization and incorporate energy optimization is not trivial. In this paper, we present a continuous resource allocation strategy to solve this issue. Specifically, we first map all the remaining resources of the cloud into a ZBtree. Based on this, we propose an efficient resource allocation strategy for processing cloud resource requests, which adopts minimal domination matching as the greedy strategy to navigate the tradeoff space. Moreover, to reduce the rate of application migration, we propose a continuous monitoring strategy which adopts a resource reserve scheme to reduce the probability of application migration to the maximum extent. The extensive experiments further demonstrate the validity of the proposed mechanism with low computation overhead.