摘要
云计算是一种新兴的商业计算模型,资源性能和负载监测是其重要的研究点。分析了传统的分布式计算资源监测策略,针对云计算环境,引入社区模型设计了层次式社区监测,提出了基于敏感因子的监测方法,以解决全局监控可能会带来的数据繁冗和无效问题。仿真实验表明,模型和策略在理论上是合理的,在效率上较传统监测系统有一定的提高。
Cloud computing is an emerging computing model,and the resource performance and load monitoring is an important research point.According to cloud computing environment,this paper analyzed the monitoring methods of traditional distributed system,designed a hierarchical model introducing community model,and proposed an approach based on sensitivity factors,to solve the problems of data redundancy and invalid in global monitoring.Simulation results show that the model and method is reasonable in theory,and the efficiency has been improved on some degree.
出处
《计算机与数字工程》
2012年第8期129-132,共4页
Computer & Digital Engineering
关键词
云计算
社区
敏感因子
资源监测
cloud computing
community
sensitive factor
resource monitoring
