Application of Expert Systems to Network Management

该项目由国家科学基金资助。 美国国家科学基金会（NSF）小企业创新研究（SBIR） 该计划旨在为小型企业提供机会， 企业，特别是小型高科技企业， 参与NSF研究。 SBIR计划的第一阶段服务于 作为筛选器，以选择有希望的提案，并确定 公司可以进行高质量的研究。 第二阶段是主要的 研究项目。 第三阶段是转换国家安全基金资助的 商业应用和技术研究 由后续私人风险资本支持的创新， 其他非联邦资金。 这是一个关于应用专家系统的第一阶段项目 网络管理是一个非常重要的研究领域。 网络发展非常迅速，而且变得过于复杂 非自动化解决方案。 巨大的潜在成本是 连接到行为不良的系统，包括延迟使用， 商业和政府关注。 在第一阶段，主要研究者将选择一名 第二阶段的发展问题的适当领域。 的 方法是分析这个“垂直切片”，期望获得 深入了解如何解决一般问题，同时解决 特别有前途的一个。

This project is funded under the National Science Foundation's (NSF) Small Business Innovation Research (SBIR) program, which is designed to provide an opportunity for small business, particularly the small high technology firm, to participate in NSF research. Phase I of the SBIR program serves as a filter to select promising proposals and determine if the firm can do high quality research. Phase II is the principal research project. Phase III is the conversion of the NSF-funded research into commercial applications and technological innovation supported by follow-on private venture capital or other non-federal financing. This is a Phase I project concerning applying expert systems to network management, an extremely important area of research. Networks are growing very rapidly and are becoming too complex for non-automated solutions. Enormous potential costs are attached to badly behaving systems, including delayed usage by commercial and government concerns. In Phase I, the principal investigator will select a suitable area of the problem for Phase II development. The approach is to analyze this "vertical slice", expecting to obtain insights into how to tackle the general problem while solving a particularly promising one.