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).

这个名为Moirae的研究项目的目标是研究将历史集成到近实时监控系统中的好处和挑战，并构建一个支持这种集成的新的连续查询引擎。为了实现这一目标，该项目采取了以下步骤：（1）开发新的查询模型，用于对实时和历史数据的综合查询;（2）开发新的算法，有效地将新事件与类似的过去观察结果相匹配;（3）开发一个新的连续查询引擎，有效地支持新的查询模型（该引擎包括分区流数据存储、用于公平和增量历史查询执行的调度器、用于将历史数据与数据流合并的新操作符、以及用于用户反馈的机制）;以及（4）从真实的应用领域的数据跟踪上评估系统的实用性和性能。 项目资金支持博士生的培训。 然而，该项目包括一个大型系统开发组件，用于培训研究生和本科生的研究和系统建设。 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从计算机系统监控到网络监控和基于传感器的环境监控等领域的监控应用。这种大规模监控应用程序对于大规模运营的企业至关重要。这些企业需要仔细监控其基础设施，以有效地处理和诊断故障，并为客户提供高质量的服务。 该项目产生的软件和技术文件将通过项目网站（http：//data.cs.washington.edu/moirae/moirae.shtml）传播。