SBIR Phase II: Codebook Correlation for Self-Healing Networked Systems

SBIR 第二阶段：自我修复网络系统的码本关联

• 批准号: 9633004
• 负责人: Shaula Yemini
• 金额: $ 29.75万
• 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: 1996
• 资助国家: 美国
• 起止时间: 1996-10-01 至 1999-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9633004&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Codebook; Correlation

*** 9633004 Shaula Yemini Network event correlation's goal is to identify a networked system's problems before they disrupt applications. Current approaches to automating event correlation are slow, sensitive to noise in their data, and cannot dynamically adapt to a networked system's topology changes. The Codebook approach uses coding theory as the base of a novel correlation process that is high speed, robust to noise, and dynarnically adapts to system changes. The key idea is that since problems are characterized by the symptoms they cause, it suffices to monitor the minimal set of symptoms that uniquely identify ("encode") the problems of interest. Real-time correlation processing is thus reduced to a fast process of minimal distance "decoding" of symptoms. Symptoms can be added to make codes "error-correcting", for robustness with respect to noise in the event stream. Potential market areas for this project are: 1.automated problem management products for enterprise networks, reducing exposure of mission critical applications to network down time. 2. Automated network management solutions for network service providers, increasing quality of service while reducing operations costs. 3. Selfhealing network, system and application ***

*** 9633004 Shaula Yemini 网络事件关联的目标是在网络系统的问题破坏应用程序之前识别它们。目前的自动事件关联方法速度慢，对数据中的噪声敏感，并且不能动态地适应网络系统的拓扑变化。码本方法使用编码理论作为新型相关处理的基础，该相关处理是高速的，对噪声鲁棒的，并且动态地适应系统变化。关键思想是，由于问题的特征在于它们引起的症状，因此只需监视唯一标识（“编码”）感兴趣问题的最小症状集。因此，实时相关处理被简化为症状的最小距离“解码”的快速过程。可以添加症状以使代码“纠错”，以获得相对于事件流中的噪声的鲁棒性。 该项目的潜在市场领域是：1.企业网络的自动化问题管理产品，减少使命关键应用程序对网络停机时间的暴露。2.为网络服务提供商提供的自动化网络管理解决方案，在提高服务质量的同时降低运营成本。3.自愈网络、系统和应用 *