Automatic Failure Localization and Diagnosis for Cloud Computing Applications

SAP是一家全球性软件公司，为企业应用程序开发和运营大规模计算基础设施和服务。SAP战略的一个关键方面是为客户提供基于开源技术集成层和微服务架构的软件即服务(SaaS)解决方案。解决基于微服务的云应用程序具有挑战性，因为尽管应用程序所需的任何分布式微服务可能会出现问题，但开发人员无法直接检查运行中服务的执行情况。对基于云的应用程序进行故障排除的标准做法仅限于分析各种服务编写的日志。因此，开发人员必须进行高度手动和无效的检查，这些检查遵循迭代过程以消除潜在的根本原因。我们建议调查如何开发新的分布式系统日志分析，以更好地支持基于微服务的云应用程序中的故障本地化和描述。该项目将包括对不同类型的云服务(如解释器、数据库管理系统)记录的信息进行系统调查，并试验将日志中检测到的故障症状映射到与软件开发人员相关的概念的新策略。

SAP is a global software company that develops and operates large-scale computing infrastructure and servicesfor enterprise applications. A crucial aspect of SAP's strategy is to offer their clients Software as a Service(SaaS) solutions based on an open-source technology integration layer and a micro-service architecture.Troubleshooting micro-service-based cloud applications is challenging because, while a problem may occur inany of the distributed micro-services required for an application, developers cannot directly inspect theexecution of services in operation. The standard practice for troubleshooting cloud-based applications islimited to analyzing logs written by the various services. As a result, developers must engage in highly manualand ineffective inspections that follow an iterative process of elimination for potential root causes.We propose to investigate how to develop new analyses of distributed system logs to better support failurelocalization and description in micro-service-based cloud applications that use technology relevant to SAP.The project will consist in systematic investigation of the information logged by different types of cloudservices (e.g., interpreter, database management system) and experimentation with new strategies for mappingfailure symptoms detected in logs to concepts relevant to software developers.