摘要
针对云计算的资源调度问题,有效利用云网络结构,是分布式结构与网格技术中的主要问题。大量资源调度算法使用任务结构对云计算环境下的负载进行分配,但较少考虑网络节点的动态信任度问题使得云计算资源存在一定的安全隐患。首先基于云计算任务串并联结构对网络动态资源进行分配,然后使用粒子群算法并结合节点置信度指标进行改进。通过仿真进行验证,证明了改进方法在增加节点信任度指标后提高了云计算资源的利用率,降低了网络资源负载。
The problem of cloud computing resource scheduling which uses cloud network structure effectively is the main problem of distributed architecture and grid technology.The majority of resource scheduling algorithms use the task structure for distributing the load under cloud computing environment,but the network node＇s dynamic credibility may cause some security risks in the cloud resource.Firstly,the network resource was allocated dynamically based on cloud computing tasks series-parallel structure,and then,the particle swarm algorithm was used to improve it combining with node confidence indicators.The simulation results show that the method can improve the cloud resource＇s utilization under increasing node trust indicators,and reduce the load of network resources.
出处
《计算机仿真》
CSCD
北大核心
2013年第7期280-283,共4页
Computer Simulation
关键词
云计算
资源调度
节点置信度
粒子群算法
Cloud computing
Resource scheduling
Node confidence
Particle swarm algorithm
