云计算环境下基于Chord环的资源发现模型设计  

Design for Model of Resource Discovery Based on Chord Circle in Cloud Computing

作　　者：孙雅娟[1] 林红[1] 

机构地区：[1]华北电力大学网络与信息中心,北京102206

出　　处：《计算机测量与控制》2013年第9期2573-2575,共3页Computer Measurement &Control

摘　　要：为了解决传统资源发现方法所具有的单点失效和负载不均衡等问题,提出了一种针对云计算环境的资源发现模型;首先,设计了将P2P系统与云计算相结合的二级Chord环资源发现模型,然后根据用户任务需求偏好对相似资源进行聚类,将各资源聚类作为子Chord环并选择超级节点,各超级节点构成主Chord环;为了提高查找的效率,将DHT算法和粒子群算法相结合,实现主Chord环和子Chord环的资源定位;在资源的分布密度为每平米6个的环境下进行实验,结果表明:文中方法有效解决云计算环境下资源发现问题,较其它方法能较大幅度地减少资源发现的跳数和提高平均成功率,具有很强的可行性。In order to solve load balance, a resource discovery model in cloud computing environment was proposed. Firstly, the 2--level Chord circle resource discovery model combined P2P system with cloud computing was designed, then the resource was clustered according to the user task demand, and the cluster was used as the sub--chord circle, then the super node was selected in the sub--chord circle and was used as the member in the main chord circle. The DHT and PSO （particle swarm optimization） were used to realize the resource localization in 2--level circle. The experiment was operated in the environment with then node density 6, and the result shows our method can resolve the resource discovery problem, and compared with the other methods, it has less hops and higher average success rate with strong feasibili- ty.

关 键 词：云计算 资源发现 网格 聚类 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]