OPTIMISATION STRATEGIES FOR DISTRIBUTED COMPUTING USING AN ADAPTIVE RANDOMISED STRUCTURED NETWORK

摘要：

One way to improve computational efficiency for complex engineering applications is to utilise distributed computing. In such distributed system, accessing objects through location-independent names can improve the systems transparency, scalability and reliability. Names however need to be resolved prior to passing the messages between the objects. This paper reports an Adaptive RandoMised Structured search network termed ARMS, which utilises a distributed Ant Colony Optimisation algorithms (ACO) to improve the efficiency of searching in a distributed environment. The paper further investigates different kinds of optimisation strategies in order to improve search efficiency. Simulation studies have shown ARMS is superior to Chord, a well-known structured network, under various performance measures.

关键词： Object-based distributed systems Distributed searching algorithm Randomised structured network Naming models

作者: CHUN-CHE FUNG JIA-BIN LI

作者单位: School of Information Technology, Murdoch University, Murdoch, Western Australia

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 3885-3891

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）