SBIR Phase II: Resource-efficient Remote Monitoring and Diagnostics for Cyber-Physical Systems

这个小企业创新研究（SBIR）第二阶段项目的更广泛的影响/商业潜力源于这样一个事实，即提高网络物理系统（cps）的可靠性和健壮性将直接增加它们在现实世界中的应用。CPS技术直接适用于广泛的行业，包括公用电网、智能建筑、制造业、医疗保健、交通运输等。这些行业的经济活动超过32.3万亿美元，到2025年有可能增长到82万亿美元，约占全球经济的一半。因此，cps对制造业竞争力、国防、保健、能源生产和使用以及灾害监测和恢复等领域的国家利益至关重要。由于未来对cps的依赖日益增加，系统缺陷可能会产生严重的后果。提出的技术可以通过在缺陷导致重大损失、中断或故障之前捕获缺陷来显著提高cps的可靠性。这项小型企业创新研究（SBIR）第二期项目旨在开发一种高效的远程监测和诊断软件系统，以检测和诊断网络物理系统（cps）中的软件缺陷。cps有可能在智能电网和智能医疗保健等应用领域带来效率、健壮性和安全性方面的革命。为了释放其潜力，cps本身必须是强大的。然而，尽管进行了最先进的测试，软件缺陷目前确实逃到了已部署的cps中。目前的监测和诊断系统不能改善这种情况，因为它们在设计时没有考虑到cps的限制，包括实时执行、不可靠的链接和资源受限的处理器。所提出的技术旨在创建一个能够监控cps中嵌入式节点异常的软件系统，并提供详细的执行信息，以快速诊断导致任何异常的软件缺陷。建议的工作扩展了公司在有效收集诊断软件缺陷的信息方面的广泛研究。该公司希望为cps创建一个监测和诊断软件系统，并证明其对cps现有软件缺陷的有效性。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project derives from the fact that increasing the reliability and robustness of cyber-physical systems (CPSs) will directly increase their adoption in real world applications. CPS technology is directly applicable to a broad range of sectors, including utility grids, smart buildings, manufacturing, healthcare, transportation, etc. These sectors account for more than $32.3 trillion in economic activity, with the potential to grow to $82 trillion by 2025 - about one half of the global economy. CPSs are thus critical to the national interest in areas such as manufacturing competitiveness, defense, health care, energy production and usage, and disaster monitoring and recovery. Due to the increasing reliance on CPSs in the future, system defects could have drastic consequences. The proposed technology could significantly improve reliability of CPSs by catching defects before they result in significant loss, outages, or failures.This Small Business Innovation Research (SBIR) Phase II project aims to develop an efficient remote monitoring and diagnostic software system to detect and diagnose software defects in cyber-physical systems (CPSs). CPSs have the potential to bring about a revolution in efficiency, robustness, and safety in application domains such as smart utility grids and smart healthcare. To unleash their potential, CPSs must themselves be robust. However, despite state-of-the-art testing, software defects currently do escape into deployed CPSs. Current state-of-practice monitoring and diagnostic systems cannot improve the situation as they were not designed with the constraints of CPSs in mind, which include real-time execution, unreliable links, and resource constrained processors. The proposed technology is aimed at creating a software system capable of monitoring embedded nodes in CPSs for anomalies and providing detailed execution information to quickly diagnose the software defects responsible for any anomalies. The proposed work extends the company's extensive research in efficient collection of information for diagnosing software defects. The company expects to create a monitoring and diagnostic software system for CPSs and demonstrate its effectiveness on existing software defects in CPSs.