CSR-AES Collaborative: RuggedJ: Resilient Distributed Java Over Heterogeneous Platforms
CSR-AES Collaborative: RuggedJ: Resilient Distributed Java Over Heterogeneous Platforms
批准号:
0509186
负责人:
J. Eliot Moss
金额:
$4.0万
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
项目状态:
已结题
起止时间:
2005-09-01 至 2006-08-31
中文摘要
连接到互联网的各种不同的计算资源自然会导致开发这些资源来解决更大问题的愿望--这一愿望并不像人们希望的那样容易实现。资源的异构性和可靠性属性是导致所需开发困难的部分原因。该项目的目的是支持弹性分布式计算,并在出现各种计算机系统和网络故障的情况下继续运行。该项目的目标是开发一个名为RuggedJ的系统,该系统能够在分布式、异类平台上支持弹性执行,并且对应用程序代码的更改最少。此外,该系统将启用自动化和自适应机制,同时仍允许程序员控制。我们将最终的系统称为RuggedJ,强调其对故障的弹性目标。RuggedJ将重点介绍新的面向方面的编程(AOP)工具,用于从应用程序代码中分离地指定弹性和分布行为。RuggedJ将动态应用弹性方面,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中的最先进技术,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、分发和适应方面的进一步工作。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的进一步工作。
英文摘要
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.
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