Research and simulation of resource scheduling strategy in cloud computing environment

Research and simulation of resource scheduling strategy in cloud computing environment

Wang Mei, Zhejiang Normal University

The task scheduling research content of this paper is based on the second part of Map/reduce thought, and has done work on the two aspects of Virtual machine Migration: (1) Task scheduling algorithm optimization, the main research in this paper is how to reasonably assign each subtask to virtual resources to improve the overall completion time of the task. Firstly, the cloud environment resource is modeled as genetic optimization and ant colony optimization task scheduling algorithm optimization problem, the task is classified, then the initial solution is obtained by improved genetic algorithm, then the initial solution is introduced into an improved ant colony algorithm to obtain the optimal solution. Combined with the global optimization ability of genetic optimization algorithm and the local optimization ability of ant colony optimization algorithm, the superiority of the algorithm is verified by Cloudsim simulation, the experiment shows that the algorithm converges faster, can save time effectively, and is an effective resource scheduling algorithm. (2) The research of virtual machine migration technology, this paper proposes a virtual machine migration strategy considering multiple factors, in order to reduce the server usage rate, to reduce the data center energy consumption by selecting the virtual machine migration strategy with the least load balancing cost and the lowest network transmission cost.

Research and simulation of resource scheduling strategy in cloud computing environment