Network Alarm Correlation

这个小企业创新研究第一阶段项目的重点是应用编码理论技术在复杂网络中自动报警关联。告警表示异常的网络状态或行为，如故障或拥塞，需要立即处理以避免中断网络运行。在网络系统中，单个问题可能会导致大量的告警，这些告警由多个系统组件表现出来。警报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日益增长，OAM消耗的信息技术预算比例越来越高，目前估计为65-90%，主要是由于高昂的劳动力成本。报警关联自动化可以在提高OAM质量的同时，大幅降低OAM成本。System Management Arts, Inc.预计基于编码理论的技术可以在报警相关性能方面比目前的技术提高2个数量级，同时提高其准确性和鲁棒性。

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.