摘要
网格环境下的远程教育出现对网格服务发现提出了挑战,UDDI上基于关键词和简单分类的服务发现机制已经不能很好满足需要。在分析现有相关研究的基础上,提出了基于Bloom过滤器的网格服务发现机制。通过对网格服务立体性分析,指出可对网格服务发布构建Bloom过滤器,给出一个具有高度空间相关性的服务发现方法。理论分析与实验表明,该方法是有效可行的。
The Grid technology has already been applied to long-distance education field.Service discovery is an important aspect in long-distance education system.In accordance with the feature of job in Grid,a series of services should be geographically relevant.A novel method is proposed which utilizes Bloom filter to construct a space-efficient service group filter.Simulation resuits,along with analysis,show that this scheme is context-aware,can avoid deficiency of the existing schemes and is workable and effective.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第29期223-225,共3页
Computer Engineering and Applications
基金
重庆市教育委员会2007年科学技术研究项目支持(No.KJ071503)