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Dynamic policy-driven quality of service in service-oriented information management systems

机译:面向服务的信息管理系统中由策略驱动的动态服务质量

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SOA middleware has emerged as a powerful and popular distributed computing paradigm because of its high-level abstractions for composing systems and encapsulating platform-level details and complexities. Control of some details encapsulated by SOA middleware is necessary, however, to provide managed QoS for SOA systems that require predictable performance and behavior. This paper presents a policy-driven approach for managing QoS in SOA systems called QoS enabled dissemination (QED). QED includes services for: (1) specifying and enforcing the QoS preferences of individual clients; (2) mediating and aggregating QoS management on behalf of competing users; and (3) shaping information exchange to improve real-time performance. We describe QED's QoS services and mechanisms in the context of managing QoS for a set of Publish-Subscribe-Query information management services. These services provide a representative case study in which CPU and network bottlenecks can occur, client QoS preferences can conflict, and system-level QoS requirements are based on higher level, aggregate end-to-end goals. We also discuss the design of several key QoS services and describe how QED's policy-driven approach bridges users to the underlying middleware and enables QoS control based on rich and meaningful context descriptions, including users, data types, client preferences, and information characteristics. In addition, we present experimental results that quantify the improved control, differentiation, and client-level QoS enabled by QED.
机译:SOA中间件已经成为一种强大且流行的分布式计算范例,这是因为它具有用于构成系统,封装平台级细节和复杂性的高级抽象。但是,必须控制由SOA中间件封装的某些细节,才能为需要可预测的性能和行为的SOA系统提供托管的QoS。本文提出了一种策略驱动的方法来管理SOA系统中的QoS,称为QoS支持分发(QED)。 QED包括以下服务:(1)指定和实施各个客户端的QoS偏好; (2)代表竞争用户调解和汇总QoS管理; (3)调整信息交换以提高实时性能。我们在为一组发布-订阅-查询信息管理服务管理QoS的上下文中描述QED的QoS服务和机制。这些服务提供了一个有代表性的案例研究,其中可能发生CPU和网络瓶颈,客户端QoS偏好可能会发生冲突,并且系统级QoS要求基于更高级别的端到端聚合目标。我们还将讨论几种关键QoS服务的设计,并描述QED的策略驱动方法如何将用户桥接到底层中间件,并基于丰富而有意义的上下文描述(包括用户,数据类型,客户端首选项和信息特征)启用QoS控制。此外,我们提供了实验结果,量化了QED支持的改进的控制,差异和客户端级别QoS。

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