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机构地区:[1]西安交通大学计算机科学与技术系,陕西西安710049
出 处:《小型微型计算机系统》2007年第9期1630-1636,共7页Journal of Chinese Computer Systems
基 金:国家"八六三"计划项目(2002AA104310)资助;教育部新世纪优秀人才计划项目(NCET-05-0829)资助;国家自然科学基金项目(60273085;90612004)资助
摘 要:针对网格资源与服务的异构性、动态性和流动性等特征,论文使用软件传感器来进行监测,根据异构平台上提供的服务,设计了不同的传感器.为了保证传感器有效地进行网格服务监测和快速安装,论文研究了传感器的主动部署算法与管理机制,目标是保证这一过程对用户相对透明.论文设计了一个支持传感器管理与主动部署的逻辑框架(GSDMF),提出这个框架下的请求驱动和事件驱动的传感器部署与更新的算法.实验表明,本文提出的传感器的部署与更新算法不会对网格用户任务的执行时间产生明显影响,但由于有了传感器的监控,使得网格内各种服务的平均可用率提高了大约42%.Because of the heterogeneous, mobility and dynamics of grid resources and services, this paper designs soft-sensors to obtain monitoring information. Different sensors have been designed according to different services. To ensure that sensors can effectively monitor grid services and be rapidly installed, this paper studies the active deployment algorithm and management mechanism of sensors. The final target is to ensure the deployment process can be transparent to the users. A framework (GS- DMF) is designed to support the management and active deployment of sensors. After that, we propose demand-driven and event-driven algorithms which are used in sensorsI deployment and update. Results of experiments suggest that the sensor deployment and update algorithms do not have an obvious influence on the performance of provider, but because of sensors' monitor and control, the average available rate of grid services approximately increases by 42 %.
分 类 号:TP393.09[自动化与计算机技术—计算机应用技术]
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