对等云中基于信任的多属性抉择资源定位算法

Trust-based multi-attribute decision resource location algorithm for peer-to-peer cloud systems

针对对等架构的云系统,提出了一种新型的资源定位算法.新算法将信任机制引入资源定位过程以保护节点安全和资源有效性.针对查找资源通常可分为字符型精确查找和数值型区间查找的特点,而传统的资源定位方法往往只适用于查找字符型资源的缺点,提出区间数值型资源的Chord环定位策略.同时,为了更好地适应资源多条件检索的特点,以及降低资源定位的开销,加快查找过程,提出了单属性支配下的多属性并行查找算法.仿真实验表明,本文算法在确保性能的前提下能够维持较好的稳定性.

This paper proposed a novel resource location algorithm for the peer-to-peer cloud systems. The new model introduced trust mechanism into cloud resources positioning process in order to protect the safety and effectiveness. For the reason that resource requirements are generally divided into character precise query and numeric interval query, while traditional methods are only adapted to find character resources, it put forward a new Chord positioning strategy for the numerical interval resources. At the same time, in order to better adapt to the feature of resource multi-condition searches, reduce the cost of resource location and speed up the search process, it proposed a novel single attribute dominating multi- attribute parallel location algorithm. Simulation results show that our schema can ensure high performance and maintain good stability in the peer-to-peer cloud system.