CI-P: Computer System Failure Data Repository to Enable Data-Driven Dependability Research

可靠性是对计算机系统的要求；然而，由于缺乏真实和公开的故障数据，对可靠系统的研究受到阻碍。这可能会导致研究的生产性路径对大多数研究人员关闭，反过来，由于对真实系统失败方式的错误假设，进行的研究也是非生产性的。该项目的目标是计划一项协作工作，通过社区存储库为大型计算机系统收集、整理和提供对故障数据的公共访问。一个挑战是，失败数据被所有者视为敏感数据。这个项目的最终目标是从NSF资助的一些大型基础设施项目中收集数据，例如NEES、LIGO、XSEDE和NRAO。这个规划项目的具体目标是从潜在的实践者(数据集的用户和贡献者)那里收集需求，并用普渡大学最大和最新的两个集群中的两个数据集来播种原型存储库。数据集将包括计划内和计划外停机的静态信息、有关工作量的动态信息和故障信息。通过将数据集传播给各种研究人员，甚至可能是从业者，将在项目中产生更广泛的影响。这些数据集将让人们更有效地运行他们的校园集群，即故障更少，利用率和能源效率更高。

Dependability is a requirement for computer systems; however, researchon dependable systems is hampered by a lack of real and publiclyavailable failure data. This can result in productive paths ofresearch being closed to most researchers and, conversely,unproductive research being performed due to faulty assumptions aboutthe manner in which real systems fail. The goal of this project is toplan a collaborative effort to collect, curate, and provide publicaccess to failure data for large scale computer systems through acommunity repository. One challenge is that failure data isconsidered sensitive by the owners. The ultimate goal of this projectis to collect the data from some of the NSF-funded largecyberinfrastructure projects, such as NEES, LIGO, XSEDE, and NRAO.The specific goal of this planning project is to collect requirementsfrom potential praticipants (both users and contributors of data sets)and seed a prototype repository with data sets from two of the largestand latest clusters at Purdue. The data sets will comprise staticinformation, dynamic information about the workloads, and failureinformation, for both planned and unplanned outages.The broader impact in the project will be achieved through thedissemination of the data sets to a wide variety of researchers, andperhaps even, practitioners. The datasets will let people run theircampus clusters more efficiently, i.e., with fewer failures, at higherutilization and energy efficiency.