### Research on SLA-based optimizing resource allocation in cloud

LI Shuzhi, HE Lanlan

1. School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi 341000, China
• Online:2015-06-01 Published:2015-06-12

### 云环境下基于SLA的优化资源分配研究

1. 江西理工大学 信息工程学院，江西 赣州 341000

Abstract: For the problem, how to efficiently allocate the resource to ensure the service provider to make the maximize profit in cloud computing, this paper proposes a dynamic cloud resource allocation policy based on Service Level Agreement （SLA）, by considering the SLA properties, containing computing capacity, network bandwidth and data storage as optimization parameters. A kind of mapping model between service request and resource allocation is given, at the same time, the corresponding utility function is designed. An improved hybrid Particle Swarm Optimization algorithm based on Simulated Annealing （SA-PSO） is analyzed. Experimental results show that the SLA-based parameters SA-PSO has better global optimality. It can obtain higher benefits than other algorithm under the same condition.