Network Alarm Correlation

网络告警关联

• 批准号: 9461773
• 负责人: Shaula Yemini
• 金额: $ 7.47万
• 依托单位: System Management Arts
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-06-01 至 1996-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9461773&HistoricalAwards=false
• 关键词: Network; Alarm; Correlation

This Small Business Innovation Research Phase I project focuses on applying coding theory techniques to automate alarm correlation in complex networks. Alarms indicate exceptional network states or behaviors, e.g., failure or congestion, which require immediate handling to avoid disrupting network operations. In a networked system, a single problem can result in large numbers of alarms manifested by multiple system components. Alarm correlation correlates these various symptoms to accurately identify the problems requiring handling, and is thus a central component in network operations and management (OAM). As enterprises' reliance on networked systems grows, OAM consumes an increasingly higher percentage of information technology budgets, currently estimated at 65-90%, mainly due to high labor costs. Automation of alarm correlation can substantially reduce OAM costs while improving their quality. System Management Arts, Inc., anticipates that techniques based on coding theory can yield up to 2 orders of magnitude improvement in alarm correlation performance over today's techniques, while increasing both their accuracy and robustness.

这个小型企业创新研究第一阶段项目的重点是应用编码理论技术来自动化复杂网络中的报警关联。警报指示异常的网络状态或行为，例如，故障或拥塞，需要立即处理以避免中断网络操作。在联网系统中，单个问题可能导致多个系统组件出现大量警报。告警关联将这些不同的症状关联起来，以准确地识别需要处理的问题，因此是网络操作和管理（OAM）中的核心组件。随着企业对网络系统的依赖程度不断增加，OAM消耗的信息技术预算比例越来越高，目前估计为65- 90%，主要原因是劳动力成本高。告警关联的自动化可以显著降低OAM成本，同时提高其质量。系统管理艺术公司，预计，基于编码理论的技术可以产生高达2个数量级的改进报警相关性能比今天的技术，同时提高其准确性和鲁棒性。