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

今天的分布式系统很脆弱，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、中间件和其他软件构建块甚至被用于创建关键的应用程序，如金融和银行，然而最终系统的复杂性往往超出我们的理解。我们建议建立在我们先前成功的论点的基础上，即系统故障不是可以果断解决的问题，而是需要处理的持续的生活事实。因此，我们的方法以系统快速自动检测和从多种故障中恢复为中心，如此之快，以至于故障和恢复将成为一种适应形式，我们将能够利用经过良好测试的控制理论思想，为设计可靠的分布式计算系统提供新的基础。因此，我们称我们的方法为RADS：可靠的自适应分布式系统。我们将利用统计学习理论（SLT）和控制理论（CT）的现有技术，开发RADS设计指南和原型，以创建可控系统。这将使SLT + CT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SLT在一定程度上用于监测和优化性能的方式有限，但据我们所知，我们是第一次尝试使用这些分析工具来监测和控制可靠性和高可用性。

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.