RESEARCH GROUP

Cloud computing has become the default architecture of choice in many domains, primarily driven by the proliferation of compute-intensive Artificial Intelligence technologies. Orthogonally, with the increasing popularity of Internet-of-Things, decentralization of cloud computing in the form of edge and mobile computing is also happening. Although applications with time-critical functions have not yet been deployed on such architectures, this is rapidly changing with the advent of next-generation wireless technology like LoRa and 5G. For example, such applications can be found in manufacturing (real-time robotic controls), driving automation (localization using vehicle-to-infrastructure communication) and energy management (managing energy flexibilities in urban energy systems). In this project, we address the problem of resource (computation and communication) allocations in such architectures, considering a mixed deployment of time-critical as well as non time-critical applications,..