The next frontier: interactive and closed loop performance steering
The next frontier: interactive and closed loop performance steering
复制标题
下一个前沿：交互式和闭环性能指导
DOI：
--
复制
发表时间：
1996
期刊：
影响因子：
--
通讯作者：
Stephen E. Lamm
中科院分区：
文献类型：
--
作者：
D. Reed;Christopher L. Elford;T. Madhyastha;E. Smirni;Stephen E. Lamm
越来越多的问题领域的软件具有复杂的、时变的行为和不可预测的资源需求（例如，WWW服务器和并行输入/输出系统）。虽然当前的性能分析工具提供了对应用程序动态和低性能原因的深入了解，但使用后验分析无法适应临时变化的应用程序资源需求和系统响应。我们相信，这个性能优化难题的解决方案是将动态性能检测和动态性能数据减少与实时自适应控制机制集成在一起，这种机制可以根据观察到的应用程序行为或通过高模态虚拟环境交互地自动选择和配置资源管理算法。我们首先描述了我们在性能分析工具、输入/输出表征和WWW服务器分析方面的经验，然后概述了交互式和闭环自适应控制系统的设计，从而激发了这一信念。
Software for a growing number of problem domains has complex, time varying behavior and unpredictable resource demands (e.g., WWW servers and parallel input/output systems). While current performance analysis tools provide insights into application dynamics and the causes of poor performance, with a posteriori analysis one cannot adapt to temporally varying application resource demands and system responses. We believe that the solution to this performance optimization conundrum is integration of dynamic performance instrumentation and on-the-fly performance data reduction with real-time adaptive control mechanisms that select and configure resource management algorithms automatically, based on observed application behavior, or interactively, through high-modality virtual environments. We motivate this belief by first describing our experiences with performance analysis tools, input/output characterization, and WWW server analysis, and then sketching the design of interactive and closed loop adaptive control systems.