The amalgamation of multiple edge and cloud clusters into the so-called Edge-Cloud-IoT continuum is completely transforming how we perceive, consume, and manage compute infrastructures and other continuum resources, such as storage and network. Additionally, novel resource types, such as edge-based sensors, and specialized devices, such as AI inference accelerators, are increasingly becoming an integral part of this novel computing continuum. This calls for novel and fundamentally different approaches to application execution models as well as infrastructure management and operation in the Edge-Cloud continuum.

Serverless computing has emerged as a suitable paradigm for the emerging Edge-Cloud-IoT continuum systems and applications. By abstracting away the underlying infrastructure operation and management, it promises to improve developers' experiences and also optimize overall resource utilization. However, a number of challenges related to programming support, reliability engineering, and performance engineering still remain.

We are inviting novel research papers and contributions on the following non-exhaustive list of topics:

- FaaS Platforms for Edge-Cloud-IoT Continuum.
- Serverless Compute Fabric for Edge and Cloud.
- Serverless Backend Services for Edge-Cloud FaaS Paradigm.
- Serverless management of Reliable Edge-Cloud Infrastructures.
- Self -Provisioning Serverless Infrastructure for Edge-Cloud-IoT Continuum.
- Resource and Performance Isolation for FaaS in Edge-Cloud-IoT Continuum.
- AI and Machine Learning for Serverless Computing in Edge-Cloud-IoT Continuum.
- In-network FaaS Computing for the Edge-Cloud-IoT Continuum.
- Fault tolerance and resilience for Serverless computing.
- Serverless and FaaS approaches for Edge and Cloud.
- Programming Models for Serverless Computing.

Dr. Stefan Nastic
Dr. Patrizio Dazzi
Dr. Konstantinos Tserpes
Dr. Sashko Ristov

Guest Editors