SHF: CSR: Small: Automated Refactoring Techniques for Efficient and Reliable Distributed Execution

SHF：CSR：小型：用于高效可靠的分布式执行的自动重构技术

• 批准号: 1116565
• 负责人: Eli Tilevich
• 金额: $ 47.87万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-07-15 至 2016-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1116565&HistoricalAwards=false
• 关键词: SHF; CSR; Small; Automated; Refactoring

The software marketplace is striving to accommodate the impending shift from traditional desktop applications to a model dominated by cloud computing. This paradigm shift will enable users to access computing resources from any location using an increasingly diverse set of clients, a growing number of which are mobile devices. Because traditional software development is tailored toward centralized execution, many centralized applications need to be adapted to serve remote users efficiently and reliably. Traditionally such adaptations require modifying application source code by hand, which is difficult, costly, and error-prone. To address this problem, this project develops automated program transformations that programmers can use to achieve efficient and reliable distributed execution. This project will help answer the following fundamental research questions: (1) How can one distribute Object Oriented software even though objects do not distribute naturally? (2) How can distributed applications effectively leverage the latency/bandwidth trade-offs of modern networks? How can one alleviate inefficiencies imposed by use of remote pointers? (3) How can one effectively harden a distributed application against network volatility? This project will develop automated refactoring techniques, semantics preserving transformations performed under the programmer¹s control. These techniques will (1) remodularize monolithic applications into service modules to exploit natural distribution boundaries, (2) optimize distribution middleware as guided by program analysis to reduce the aggregate latency of remote calls and efficiently transfer object graphs as parameters, and (3) enhance distributed applications with the ability to cope with network volatility. These techniques will help achieve efficient and reliable distributed execution with reduced software development costs and improved programmer productivity, thus benefiting enterprises, researchers, and the general public alike.

软件市场正在努力适应从传统桌面应用程序到以云计算为主的模型的转变。这种范式偏移将使用户能够使用越来越多样化的客户端访问任何位置的计算资源，其中越来越多的是移动设备。由于传统的软件开发是针对集中执行量身定制的，因此需要对许多集中式应用程序进行调整以有效地为远程用户提供服务。传统上，这种适应需要手动修改应用程序源代码，这是困难，昂贵且容易出错的。为了解决此问题，该项目开发了程序员可以使用的自动化程序转换，以实现有效且可靠的分布式执行。该项目将有助于回答以下基本研究问题：（1）即使对象不自然分发，也可以如何分发面向对象的软件？ （2）分布式应用程序如何有效地利用现代网络的延迟/带宽权衡？如何通过使用远程指针来减轻效率低下的效率？ （3）如何有效地将分布式应用程序与网络波动率更改？该项目将开发自动重构技术，在程序员控制下执行的语义保存转换。这些技术将（1）将整体应用重新介绍到服务模块中以利用自然分配边界，（2）优化通过程序分析指导的分配中间软件，以减少远程呼叫的总延迟，并有效传输的对象图作为参数，以及（3）增强的分布式应用程序，并具有与网络挥发性相抵触的能力。这些技术将有助于通过降低软件开发成本和改进程序员生产来实现高效且可靠的分布式执行，从而使企业，研究人员和公众都受益。