Serverless edge computing combines the advantages of the well-known serverless computing paradigm with the geographic distribution of the computational infrastructure. Distributed locations of heterogeneous edge servers constitute a multi-cloud continuum, enabling the workload distribution across different cloud environments to leverage the unique capabilities and offerings. It also reduces delays in real-time data processing, the amount of data sent to computational clouds, contextual operation and efficient on-demand resource utilization. Despite the overall benefits, serverless edge computing is particularly vulnerable to the dynamics of the operating environment due to the usage of renewable energy sources, lack of adequate cooling, limited servicing and low-power wireless communication technologies. Therefore, the research challenge is to make these solutions adaptive to ever-changing working conditions and provide the desired quality of service. A promising solution involves the usage of ML and TinyML to provide adaptive intelligence to the computational infrastructure. In the talk, we will discuss the open problems and possible research directions.

Dr Tomasz Szydlo is a Senior Lecturer in the School of Computing at Newcastle University, UK. He has recently joined the NUSE group, where he explores the IoT and TinyML research areas. In 2010, he defended his PhD at the AGH-UST, which focused on QoS-driven semantics-based SOA applications composition and execution. Then, he obtained a habilitation degree in computer science in 2019 for work on methods and mechanisms for Internet of Things systems characterized by variable operation policies and restrictions. His interests focus on emerging technologies in the areas of the edge-cloud continuum as well as IoT solutions. He has participated in several EU research projects, including CrossGrid, Ambient Networks, UniversAAL, CLOUDSTARS and national projects, including IT-SOA, ISMOP and FogDevices. He actively cooperates with the industry regarding real-life IoT problems and communication aspects.