首页> 外文会议>On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE pt.2; Lecture Notes in Computer Science; 4276 >Bulls-Eye - A Resource Provisioning Service for Enterprise Distributed Real-Time and Embedded Systems
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Bulls-Eye - A Resource Provisioning Service for Enterprise Distributed Real-Time and Embedded Systems

机译:Bulls-Eye-为企业分布式实时和嵌入式系统提供的资源

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Middleware is increasingly used to develop and deploy components in enterprise distributed real-time and embedded (DRE) systems. A key challenge in these systems is devising resource management algorithms that deploy application components properly onto target nodes. To provide an accurate view of system resource utilization, these algorithms need monitor resources at runtime. Runtime resource monitoring is also needed to make redeployment or reconfiguration decisions triggered by various factors, such as failures, attacks, overloads, or changes in quality of service (QoS) requirements. DRE systems with a diverse range of applications can therefore benefit from a common resource provisioning service capable of monitoring resource data and enabling proper resource allocation in a timely manner.rnThis paper provides two contributions to the study of runtime resource provisioning for enterprise DRE systems. First, it describes the challenges in developing Bulls-Eye, which is an open implementation of the OMG standard Target Manager specification that provides a reusable service for provisioning distributed resources in enterprise DRE systems. Second, it presents the results of experiments that applied Bulls-Eye to the multi-layer resource management subsystem of a shipboard computing environment. Our results show that provisioning resources at runtime in a DRE system via Bulls-Eye simplifies resource management and helps automate adaptations in the face pf dynamic changes in operating conditions.
机译:中间件越来越多地用于在企业分布式实时和嵌入式(DRE)系统中开发和部署组件。这些系统中的主要挑战是设计资源管理算法,以将应用程序组件正确部署到目标节点上。为了提供系统资源利用率的准确视图,这些算法需要在运行时监视资源。还需要运行时资源监视来做出由各种因素(例如故障,攻击,过载或服务质量(QoS)要求的变化)触发的重新部署或重新配置决策。因此,具有广泛应用范围的DRE系统可以从公用资源配置服务中受益,该服务能够监视资源数据并及时进行适当的资源分配。本文为企业DRE系统的运行时资源配置研究提供了两个贡献。首先,它描述了开发Bulls-Eye所面临的挑战,Bulls-Eye是OMG标准Target Manager规范的开放实现,它为在企业DRE系统中供应分布式资源提供了可重用的服务。其次,它给出了将Bulls-Eye应用于舰载计算环境的多层资源管理子系统的实验结果。我们的结果表明,通过Bulls-Eye在DRE系统中在运行时配置资源可以简化资源管理,并有助于在面对工作条件动态变化时自动进行适应。

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