计算机工程与应用Issue(11)：57-61,5.DOI:10.3778/j.issn.1002-8331.1309-0067
云环境下基于SLA的优化资源分配研究
Research on SLA-based optimizing resource allocation in cloud
摘要
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 Agree-ment(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 bet-ter global optimality. It can obtain higher benefits than other algorithm under the same condition.关键词
云计算/服务级别协议(SLA)/资源分配/基于模拟退火的粒子群优化算法(SA-PSO)Key words
cloud computing/Service Level Agreement(SLA)/resource allocation/Particle Swarm Optimization algo-rithm based on Simulated Annealing(SA-PSO)分类
信息技术与安全科学引用本文复制引用
李淑芝,何兰兰..云环境下基于SLA的优化资源分配研究[J].计算机工程与应用,2015,(11):57-61,5.基金项目
国家自然科学基金（No.61105042）；江西省科技厅青年科学基金项目（No.20122BAB211035）；江西省教育厅科技项目（No.GJJ13411）。 （）
