Context-awareness and demand-driven evaluation in heterogeneous distributed systems

异构分布式系统中的上下文感知和需求驱动评估

• 批准号: 227820-2011
• 负责人: Paquet, Joey
• 金额: $ 1.46万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=570326
• 关键词: Context; awareness; demand; driven; evaluation

This research proposal aims at the definition of a theoretically sound framework to introduce the notion of context-aware system interoperability protocol, context-aware middleware, as well as the associated definition and implementation of a programming language semantics based on a demand-driven evaluation method. We propose to integrate our past theoretical and practical results in this framework, which include: (1) a sound theory of context calculus; (2) a demand-driven evaluation semantics, including a language-independent type system necessary for such an implementation; (3) validation of the approach vs scalability and ease of use as to improve existing methodologies in the specific application and middleware domains, e.g. SOA, and cloud, grid, and mobile computing which are increasingly context-aware. Context awareness and its corresponding demand-driven computation model can be applied to the service-oriented architecture (SOA) model of distributed computing, enabling service-oriented clients to gather their own context and make service-oriented server demands based on their own context, and the services to be defined according to the context of the service demands. On another spectrum, new computing models such as grid computing and cloud computing are now generally relying on the notion of context in order to constraint or direct the computational resources being used by processing demands. Again, the notion of context-aware middleware, coupled with a corresponding demand-driven evaluation model fits exactly this current need. We will re-use and expand our previous best theoretical results and their practical component-based realization in the above mentioned domains of SOA, cloud grid, and mobile computing and their applications, to unify the approach, test and validate the scalability and usability of various context-aware paradigms in a uniform research evaluation platform.

本研究提案旨在定义一个理论上合理的框架，以引入“ 上下文感知系统互操作协议、上下文感知中间件以及基于需求驱动评估方法的编程语言语义的相关定义和实现。我们建议将我们过去的理论和实践成果整合到这个框架中，其中包括：（1）完善的上下文演算理论； (2) 需求驱动的评估语义，包括这种实现所需的独立于语言的类型系统； (3) 验证该方法与可扩展性和易用性，以改进特定应用程序和中间件领域的现有方法，例如SOA、云、网格和移动计算越来越具有上下文感知能力。 上下文感知及其相应的需求驱动计算模型可以应用于 分布式计算的面向服务架构（SOA）模型，使面向服务的客户端能够收集自己的上下文，并根据自己的上下文提出面向服务的服务器需求，并根据服务需求的上下文来定义服务。另一方面，诸如网格计算和云计算之类的新计算模型现在通常依赖于上下文的概念来约束或指导处理需求所使用的计算资源。同样，上下文感知中间件的概念以及相应的需求驱动评估模型完全符合当前的需求。我们将在上述SOA、云网格、移动计算及其应用领域中重新利用和扩展我们之前的最佳理论成果及其基于组件的实际实现，以统一方法，测试和验证可扩展性和可用性。统一研究评估平台中的各种情境感知范式。