Projects

Shift2SDV is a research and innovation action (RIA) funded by Chips Joint Undertaking (Chips JU). The project aims to define, coordinate, and develop a language-independent middleware framework tailored for Software Defined Vehicles (SDVs). At its core, Shift2SDV focuses on enabling flexible, microservices-based architectures through standardized middleware, APIs, and frameworks—laying the groundwork for interoperable and scalable SDV platforms.

Our research within Shift2SDV explores how to ensure predictable and timely execution of microservices in distributed systems. This includes the design of latency-aware orchestration and resource scheduling strategies that meet strict deadlines and service-level objectives (SLOs), while maximizing overall system efficiency. Targeting the next generation of real-time, QoS-aware service platforms for SDVs, the work is grounded in practical experimentation using modern containerized environments like Docker and Kubernetes.

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Project duration: 2025–2028

From 2019-2022, I was involved in BIFOLD (Berlin Institute for the Foundations of Learning and Data) - BBDC where I worked on networking problems for stream processing applications. My focus for this project was to analyze the impact of network resources on data stream processing applications. The goal was to apply adaptation mechanisms to those applications by considering network resource variations leveraging recent SDN developments.

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