Data-driven Approach to Resilient Online Service Systems

该项目旨在开发一种数据驱动的方法，以提高在线服务系统的复原力。现在，许多软件系统通过因特网作为在线服务全天候提供。虽然在服务质量保证方面已经投入了大量的精力，但在现实中，在线服务系统仍然遇到了许多事件，无法满足用户的需求。该项目希望开发创新的数据驱动方法，以有效地识别故障、定位故障和预测故障。该项目的预期成果包括维护在线服务系统的新技术和工具。该项目将带来重大好处，例如提高我们网络基础设施的弹性和可靠性。

This project aims to develop a data-driven approach to improving the resilience of online service systems. Many software systems are now provided as online services via the Internet on a 24/7 basis. Although a lot of effort has been devoted to service quality assurance, in reality, online service systems still encounter many incidents and fail to satisfy user requests. This project expects to develop innovative data-driven methods for effective fault identification, fault localization, and failure prediction. Expected outcomes of this project include novel techniques and tools for maintaining online service systems. This project will provide significant benefits, such as improving the resilience and reliability of our cyber infrastructure.