Connected and software-defined vehicles promise to offer a broad range of services and advanced functions to customers, aiming to increase passenger comfort and support autonomous driving capabilities. Due to the high reliability and availability requirements of connected vehicles, it is crucial to resolve any occurring failures quickly. To achieve this however, a complex cloud/edge architecture with a mesh of dependencies must be navigated to diagnose the responsible root cause. As such, manual analyses become unfeasible since they would significantly delay the troubleshooting. To address this challenge, this paper presents SDVDiag, an extensible platform for the automated diagnosis of connected vehicle functions. The platform enables the creation of pipelines that cover all steps from initial data collection to the tracing of potential root causes. In addition, SDVDiag supports self-adaptive behavior by the ability to exchange modules at runtime. Dependencies between functions are detected and continuously updated, resulting in a dynamic graph view of the system. In addition, vital system metrics are monitored for anomalies. Whenever an incident is investigated, a snapshot of the graph is taken and augmented by relevant anomalies. Finally, the analysis is performed by traversing the graph and creating a ranking of the most likely causes. To evaluate the platform, it is deployed inside an 5G test fleet environment for connected vehicle functions. The results show that injected faults can be detected reliably. As such, the platform offers the potential to gain new insights and reduce downtime by identifying problems and their causes at an early stage.

By- Amith Singhee At the dawn of the Information Age in the 1970s, the role of Information Technology (IT) was limited to'computing plumbing' - to keep the networks and computers working. In the 90s and 2000s, it evolved into an enterprise shared servicesmodel that was essential for operational efficiency, cost takeout and decision support. Today, IT is witnessing another shift that increasingly requires the Chief Information Officer organization to act as a partner in defining business strategy and driving topline growth via IT-driven business transformation. To realize this, the IT delivery platform that includes infrastructure, applications, processes and roles of people -needs to be scalable and adaptable tokeep pace with the rapidly changing business and operational needs, and, hence, transform to a hybrid cloud IT architecture. The transformation will involve four phases: Advice for Cloud, Move to Cloud, Build for Cloud and Manage on Cloud.