CSR - - -PDOS: Reliable Adaptive Distributed Systems (RADS)

CSR - - -PDOS：可靠的自适应分布式系统 (RADS)

• 批准号: 0509559
• 负责人: David Patterson
• 金额: $ 103.12万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0509559&HistoricalAwards=false
• 关键词: CSR; PDOS; Reliable; Adaptive; Distributed

Today's distributed systems are fragile and easily broken. As a result, total cost of ownership is no longer dominated by capital costs. Commodity OS's, middleware, and other software building blocks are being used even to create critical applications such as finance and banking, yet the complexity of the resulting systems is often beyond our understanding.We propose to build on our prior successful argument that system failures are not problems that will be decisively solved, but ongoing facts of life to be dealt with. Hence, our approach centers on systematic fast automatic detection and recovery from many kinds of failures so fast that failure and recovery will become a form of adaptation, and we will be able to leverage the well-tested ideas of control theory, resulting in a new basis for the design of dependable distributed computing systems. Hence we call our approach RADS: Reliable Adaptive Distributed Systems. We will develop RADS design guidelines and prototypes for creating controllable systems by leveraging existing techniques from Statistical Learning Theory (SLT) and Control Theory (CT). This will enable much wider applicability of SLT + CT to dependable computing and establish a concrete venue for collaboration with those research communities. Although CT and to some degree SLT have been applied in limited ways for monitoring and optimizing performance, to our knowledge ours is the first attempt to use these analytical tools to monitor and control for dependability and high availability.

今天的分布式系统是脆弱的，很容易被破坏。因此，总拥有成本不再由资本成本主导。商品操作系统的，中间件，和其他软件构建块正在使用，甚至创建关键的应用程序，如金融和银行，但由此产生的系统的复杂性往往超出了我们的理解，我们建议建立在我们以前的成功的论点，系统故障是不是问题，将被果断地解决，但正在进行的生活中的事实要处理。因此，我们的方法集中在系统的快速自动检测和恢复，从许多种故障如此之快，故障和恢复将成为一种适应的形式，我们将能够利用控制理论的久经考验的想法，从而在一个新的基础上设计可靠的分布式计算系统。因此，我们称我们的方法为RADS：可靠的自适应分布式系统。我们将开发RADS设计指南和原型，通过利用统计学习理论（STO）和控制理论（CT）的现有技术来创建可控系统。这将使物联网+计算机技术更广泛地适用于可靠的计算，并为与这些研究团体的合作建立一个具体的场所。虽然CT和在某种程度上的ESTA已经应用于有限的方式来监控和优化性能，据我们所知，我们是第一次尝试使用这些分析工具来监控和控制的可靠性和高可用性。