CSR---AES Collaborative: RuggedJ: Resilient Distributed Java Over Heterogeneous Platforms

CSR---AES 协作：RuggedJ：异构平台上的弹性分布式 Java

• 批准号: 0509377
• 负责人: Antony Hosking
• 金额: $ 3万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0509377&HistoricalAwards=false
• 关键词: CSR; AES; Collaborative; RuggedJ; Resilient

The wide range of heterogeneous computing resources connected to the Internet leads naturally to a desire to exploit these resources to solve larger problems-a desire that is not as easy to fulfill as one would hope. The heterogeneity and reliability properties of the resources are part of what makes the desired exploitation difficult. The project is aimed in enabling support of resilient distributed computation, and with continued operation in the presence of various kinds of computer system and network failures. The project's goal is a system, RuggedJ, that supports resilient execution, over distributed heterogeneous platforms, with minimal change to application code. In addition, the system will enable automated and adaptive mechanisms while still allowing programmer control. We call the resulting system, RuggedJ, emphasizing its goal of resilience to failure.RuggedJ will highlight novel aspect-oriented programming (AOP) tools for specifying resilience and distribution behavior separately from application code. RuggedJ will apply resilience aspects dynamically, to map application code to a given distributed platform. The RuggedJ tools will advance the state of the art in AOP, and serve as a case study in their effectiveness. The RuggedJ run-time system will also enable further work on resiliency, distribution, and adaptation. Since nonintrusiveness more or less demands a distributed shared memory model, the RuggedJ run-time system will also enable further work in that direction.

连接到Internet的大量异构计算资源自然导致人们希望利用这些资源来解决更大的问题——这一愿望并不像人们所希望的那样容易实现。资源的异构性和可靠性特性是使期望的开发变得困难的部分原因。该项目旨在支持弹性分布式计算，并在各种计算机系统和网络故障的情况下继续运行。该项目的目标是一个系统，RuggedJ，它支持弹性执行，在分布式异构平台上，对应用程序代码的更改最小。此外，该系统将启用自动化和自适应机制，同时仍然允许程序员控制。我们将最终的系统称为RuggedJ，以强调其对失败的恢复能力。RuggedJ将重点介绍新的面向方面编程（AOP）工具，用于从应用程序代码中单独指定弹性和分布行为。RuggedJ将动态地应用弹性方面，将应用程序代码映射到给定的分布式平台。RuggedJ工具将推动AOP技术的发展，并作为其有效性的案例研究。RuggedJ运行时系统还将支持在弹性、分布和适应性方面的进一步工作。由于非侵入性或多或少需要分布式共享内存模型，因此RuggedJ运行时系统也将支持在该方向上进一步工作。