NGS: Collaborative Research: Autonomic Computing Middleware

计算网格的出现以及无缝聚合、集成和交互的潜力，使得对复杂物理现象的新一代现实、科学和工程模拟成为可能。这些应用程序将共生和机会地结合计算、实验、观察和实时数据，并将为复杂系统提供重要的见解。此外，底层网格基础设施同样是异构和动态的，在全球范围内聚合了大量独立的计算和通信资源、数据存储和传感器网络。两者的结合导致了应用程序开发、配置和管理的复杂性，打破了当前基于被动组件和静态组合的范例。本项目将做出以下具体贡献：自治组件的定义：我们将定义编程抽象和支持基础设施，以支持自治组件的定义。方面、策略和策略引擎一起允许自治组件一致且安全地配置、管理、调整和优化其执行。自主应用程序的动态组合：我们将开发机制和支持基础设施，使自主应用程序能够动态地、偶然地由自主组件组合而成。组合将基于在运行时定义、部署和执行的策略和约束，并且将知道可用的网格资源（系统、服务、存储、数据）和组件，以及它们的当前状态、需求和功能。基于组件的应用程序的在线性能建模：我们将研究预测性能函数的公式，这些函数将应用程序组件和网格元素的分析、实验和经验性能模型分层地结合起来。自主中间件服务：该项目将在新兴的网格中间件基础设施之上设计、开发和部署关键服务，以支持自主应用。自主行为和动态组合的关键需求之一是组件、应用程序和资源（系统、服务、存储、数据）作为对等体进行交互的能力。此外，组件应该能够感知它们的环境。该项目将扩展网格中间件，包括：(1)点对点基板，(2)上下文感知服务，以及(3)用于组合、配置和管理自主应用程序的点对点演绎引擎。主动点对点控制网络将结合传感器、执行器和规则，在运行时配置和调整组件及其执行环境，并满足需求、性能和服务质量约束。

The emergence of computational Grids and the potential for seamless aggregation, integration and interactions has made it possible to conceive a new generation of realistic, scientific and engineering simulations of complex physical phenomena. These applications will symbiotically and opportunistically combine computations, experiments, observations, and realtime data, and will provide important insights into complex systems. Furthermore, the underlying Grid infrastructure is similarly heterogeneous anddynamic, globally aggregating large numbers of independent computing and communication resources, data stores and sensor networks. The combination of the two results in an application development, configuration and management complexities that break current paradigms based on passive components and static compositions. This projectwill make the following specific contributions:1. Definition of Autonomous Components: We will define programming abstractions and supporting infrastructure that will enable the definition of autonomous components. Together, the aspects, policies, and policy engine allow autonomous components to consistently and securely configure, manage, adapt and optimize their execution.2. Dynamic Composition of Autonomic Applications: We will develop mechanisms and supporting infrastructure to enable autonomic applications to be dynamically and opportunistically composed from autonomic components. The composition will be based on policies and constraints that are defined, deployed and executed at run time, and will be aware of available Grid resources (systems, services, storage, data) and components, and their current states, requirements, and capabilities.3. Online Performance Modeling of Component-based Applications: We will investigate the formulation ofpredictive performance functions that hierarchically combine analytical, experimental and empirical performance models for application components and elements of the Grid. 4. Autonomic Middleware Services: The project will design, develop and deploy key services on top of the emerging Grid middleware infrastructure to support autonomic applications. One of the key requirements for autonomic behavior and dynamic compositions is the ability of the components, applications and resources (systems, services, storage, data) to interact as peers. Furthermore the components should be able to sense their environment. The project will extend the Grid middleware with (1) a peer-to-peer substrate, (2) context aware services, and (3) peer-to-peer deductive engines for composition, configuration and management of autonomic applications. An active peer-to-peer control network will combine sensors, actuators and rules to configure and tune components and their execution environment at runtime and satisfy requirements, and performance and quality of service constraints.