动态环境下的自适应QoS资源管理

S. Chatterjee, Michael Brown
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引用次数: 5

摘要

随着越来越多的终端用户在同一分布式系统(例如,办公室内部网或Internet)上运行多媒体应用程序和传统桌面应用程序(文字处理、电子表格等),如何在高度动态、共享和异构资源环境中提供自适应服务质量(QoS)的问题变得非常重要。虽然Java/spl /是异构问题的一种优雅的解决方案,但它缺乏自适应QoS支持,这对多媒体和其他实时应用程序至关重要。我们的ERDoS(端到端分布式系统资源管理)项目提出了适应问题的解决方案。我们将使用运行Linux的笔记本电脑上的一组多媒体应用程序,演示我们的创新的基于内容的自适应算法,该算法嵌入到Java虚拟机(JVM)中。如果底层基础设施提供实时支持,那么将支持扩展到应用程序层就容易得多。然而,大多数常见系统(无论是内部网、外部网还是Internet)的底层基础设施都是非实时的。由于这些较新的多媒体应用程序必须与当前的桌面应用程序共同驻留在相同的分布式基础设施中,而当前的桌面应用程序是非实时的,并且具有不可预测的资源使用模式,因此问题变得更加严重。因此,我们的目标是在尽力而为的基础设施中为这些新的多媒体应用程序提供自适应的QoS支持。由于Java固有的非实时属性(例如,它的动态加载和链接,以及垃圾收集),我们没有尝试扩展Java来支持应用程序的实时保证。相反,我们的目标是在JVM中插入复杂的多应用程序多维QoS适应算法,使其能够在系统状态变化时优雅地适应多媒体应用程序,从而最大限度地减少对这些应用程序用户的不利视觉影响。
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Adaptive QoS resource management in dynamic environments
As greater numbers of end users run both multimedia applications and traditional desktop applications (word processing, spreadsheets, etc.) on the same distributed system (e.g., an office intranet or the Internet), the issue of how to provide adaptive quality of service (QoS) in a highly dynamic, shared, and heterogeneous resource environment becomes very important. While Java/spl dagger/ is an elegant solution to the heterogeneity problem, it lacks adaptive QoS support, which is critical to multimedia and other real-time applications. Our ERDoS (End-to-End Resource Management of Distributed Systems) project presents solutions to the adaptation problem. We will demonstrate our innovative content-based adaptation algorithm, embedded within the Java Virtual Machine (JVM) using a set of multimedia applications on a laptop computer running Linux. If the underlying infrastructure provides real-time support, it becomes much easier to extend the support to the application layers. However, the underlying infrastructure for most common systems (whether it is an intranetwork, extranetwork or the Internet) is non-real time. The problem is exacerbated because these newer multimedia applications have to co-reside within the same distributed infrastructure with current desktop applications, which are non-real time and have unpredictable resource usage patterns. Therefore, our objective is to provide adaptive QoS support to these new multimedia applications within a best-effort infrastructure. We are not trying to extend Java to support real-time guarantees for applications because of the inherent non-real-time properties of Java (e.g., its dynamic loading and linking, and garbage collection). Instead, our goal is to insert sophisticated multiapplication, multidimensional QoS adaptation algorithms inside the JVM, to enable it to gracefully adapt multimedia applications as system state changes, in a manner that minimizes the adverse visual effect on these applications' users.
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