Automatic Failure Localization and Diagnosis for Cloud Computing Applications

云计算应用的自动故障定位与诊断

• 批准号: 511196-2017
• 负责人: Robillard, Martin
• 金额: $ 1.78万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=639592
• 关键词: Automatic; Failure; Localization; Diagnosis; Cloud

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.

SAP是一家为企业应用开发和运营大规模计算基础设施和服务的全球性软件公司。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。排除基于微服务的云应用程序的故障是具有挑战性的，因为虽然应用程序所需的任何分布式微服务都可能出现问题，但开发人员无法直接检查运行中的服务的执行情况。对基于云的应用程序进行故障排除的标准实践仅限于分析由各种服务编写的日志。因此，开发人员必须从事高度手工和无效的检查，遵循消除潜在根本原因的迭代过程。我们建议研究如何开发分布式系统日志的新分析，以更好地支持基于微服务的云应用程序中的故障定位和描述，这些应用程序使用与sap相关的技术。该项目将包括系统地调查由不同类型的云服务(例如，解释器，数据库管理系统)，并尝试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。