III-COR: Exploiting History in Continuous Monitoring Systems

III-COR：利用连续监测系统的历史

• 批准号: 0713123
• 负责人: Magdalena Balazinska
• 金额: --
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-15 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0713123&HistoricalAwards=false
• 关键词: III; COR; Exploiting; History; Continuous

The goal of this research project, called Moirae, is to investigate the benefits and challenges of integrating history into a near-real-time monitoring system and to build a new continuous query engine that supports this integration. To achieve this goal, the project takes the following steps: (1) develop new query models for integrated queries over live and historical data; (2) develop new algorithms that effectively match new events with similar past observations; (3) develop a new continuous query engine that effectively supports the new query model (the engine includes a partitioned stream data store, a scheduler for fair and incremental historical query execution, new operators for merging historical data with data streams, and mechanisms for user-feedback); and (4) evaluate the practicality and performance of the system on data traces from real application domains. Project funds support the training of PhD students. However, the project includes a large system development component that serves to train both graduate and undergraduate students in research and systems building. The result of this project will provide a new type of continuous processing engine that will better support monitoring applications in domains ranging from computer system monitoring, to network monitoring, and sensor-based environment monitoring. Such large-scale monitoring applications are critical for enterprises that operate at large scales. These enterprises need to carefully monitor their infrastructures to effectively handle and diagnose failures and deliver high-quality services to their customers. The software and technical papers resulting from this project will be disseminated through the project website(http://data.cs.washington.edu/moirae/moirae.shtml).

该研究项目（称为Moirae）的目的是研究将历史记录整合到近实时监控系统中的好处和挑战，并建立一个支持这种集成的新连续查询引擎。为了实现这一目标，该项目采取了以下步骤：（1）为实时和历史数据开发新的查询模型； （2）开发新算法，这些算法有效地匹配了与过去相似观察的新事件； （3）开发一种新的连续查询引擎，该引擎有效地支持新的查询模型（引擎包括分区流数据存储，公平和增量历史查询执行的调度程序，将历史数据与数据流合并的新操作员以及用户反馈的机制）； （4）评估系统对来自真实应用程序域数据迹线的实用性和性能。 项目资金支持博士生的培训。 但是，该项目包括一个大型的系统开发组件，该组件用于研究和系统建设方面的研究生和本科生。 该项目的结果将提供一种新型的连续处理引擎，该引擎将更好地支持监控应用程序，从计算机系统监视，网络监视和基于传感器的环境监视等域中。这样的大规模监控应用对于在大规模运营的企业中至关重要。这些企业需要仔细监视其基础架构，以有效地处理和诊断失败并为其客户提供高质量的服务。 该项目产生的软件和技术论文将通过项目网站（http://data.cs.washington.edu/moirae/moirae/moirae.shtml）进行传播。