ITR: Feedback Control of Dynamic Computing Systems

ITR：动态计算系统的反馈控制

• 批准号: 0219047
• 负责人: Dawn Tilbury
• 金额: $ 35万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0219047&HistoricalAwards=false
• 关键词: ITR; Feedback; Control; Dynamic; Computing

Software systems have become increasingly complex, and are expected toprovide service over wide operating ranges. To meet service goals,software developers provide many tuning parameters that must beset carefully for the system to provide acceptable performance andfunctionality. Tuning these parameters adequately often requires extensivetrial-and-error experimentation by system administrators. As workloads andoperating conditions continually change, the parameters must be endlesslyre-tuned to provide good performance.This research project will apply feedback control to automate thisparameter tuning loop in two example systems. The first, a wide-areareplicated file system, provides variable consistency and performancethrough optimistic concurrency control. Feedback will be used to schedulereplica reconciliation and data migration to provide acceptableperformance and consistency to end users. The second system, a databaseengine, offers a large variety of tuning parameters to be considered.Feedback control will be used to enable database administrators to managethe growing complexity of their server systems. From these two examples and other work, a framework for feedback control ofdynamic computing systems will begin to emerge. This framework will enablefuture computing systems to offer reliable and robust operation andpredictable performance, without costly maintenance and continual manualtuning.

软件系统变得越来越复杂，并且期望在广泛的操作范围内提供服务。 为了满足服务目标，软件开发人员提供了许多调整参数，必须仔细设置这些参数，以便系统提供可接受的性能和功能。 充分调整这些参数通常需要系统管理员进行大量的试错实验。 随着工作负载和操作条件的不断变化，必须不断地重新调整参数才能提供良好的性能。该研究项目将应用反馈控制在两个示例系统中自动执行此参数调整循环。 第一个是广域复制文件系统，通过乐观并发控制提供变量一致性和性能。 反馈将用于安排副本协调和数据迁移，以便为最终用户提供可接受的性能和一致性。 第二个系统是数据库引擎，提供了大量需要考虑的调整参数。反馈控制将用于使数据库管理员能够管理其服务器系统日益复杂的情况。从这两个例子和其他工作中，动态计算系统的反馈控制框架将开始出现。 该框架将使未来的计算系统能够提供可靠、稳健的操作和可预测的性能，而无需昂贵的维护和持续的手动调整。