Call for Papers
Serverless Computing is a Cloud Computing model that allows the development of applications by focusing solely on the coding aspects and abstracting from the underlying infrastructure management. This model is primarily built on the Function as a Service (FaaS) pattern, which involves breaking down applications into smaller, stateless functions executed in ephemeral, containerised environments. Serverless Computing offers seamless scalability, as functions are executed in response to events, allowing for dynamic scaling based on demand. It also provides a pay-per-use billing model, where service providers only pay for the compute resources when functions are executed, avoiding costs associated with idle resources. Developers can concentrate on writing code without dealing with operational tasks, as the serverless provider manages the infrastructure, including resource allocation, autoscaling, configuration, and lifecycle management. This abstraction of infrastructure management enables developers to deploy and execute applications more efficiently, reducing the need for specialised operational skills and allowing them to focus on creating and improving software.
This special issue is dedicated to advancing the field of Serverless Computing. We seek innovative and high-quality research submissions covering all aspects of Serverless Computing. We particularly encourage contributions that explore the integration of the Serverless Computing model with Function as a Service into the Edge-Cloud Continuum.
Submission deadline: 30th September, 2025.
Guest Editors
Francesco Tusa, Lecturer, University of Westminster, UK
Stuart Clayman, Principal Research Fellow, University College London, UK
Amjad Ullah, Lecturer, Edinburgh Napier University, UK
Mohsen Amini Salehi, Associate Professor, University of North Texas, US
Adel N. Toosi, Associate Professor, University of Melbourne, Australia
Download full details here: Special Issue on Serverless Computing
Cloud computing has long gained vital importance in both industry and academia. Datacenters across the world provide resources on a pay-per-use basis, streamlining the management of physical assets and enabling new business models. The rise of Edge computing introduced new challenges and opportunities. By enabling the use of resources closer to the end-users, Edge computing reduces perceived latency, enhances network efficiency, and presents new opportunities with respect to data privacy, resource, and data tenancy. It also presents us with deeper issues concerning the management of resources due to the heterogeneity, the small size, power, and lesser reliability of Edge and IoT devices, as well as their geographic dispersion.
The seamless integration of Cloud and Edge infrastructures that form the Cloud/Edge Continuum is essential for many recent and upcoming applications. Next Generation (Next-Gen) applications on the Continuum encompass many fields, like Extended Reality (XR), Holographic streaming, massive federated learning, online ML, privacy-aware data processing and stream processing of high quantities of data are few examples.
Next-Gen apps exploit the tradeoff between the abstraction of unlimited, remote resources provided by Cloud datacenters and the physical-world limited provision of local and resource-constrained devices on the Edge. Exploring this design space calls for the study and development of sophisticated platform management techniques, including distributed orchestration as well as smart, dynamic management of services and all types of resources, ranging from computing and storage to networking and data sources.
Finally, the emergence of the Hybrid Cloud HPC paradigm, merging High-Performance Computing (HPC) clusters within Cloud platforms, opens up even more varied usage scenarios. As of today, it further generalizes the scope and increases the importance of research and development in the Cloud/Edge Continuum field.
In this special issue, we solicit contributions that explore the latest innovations, challenges, and applications in the Cloud/Edge Continuum and Hybrid Cloud HPC. We seek high-quality contributions addressing theoretical and practical aspects of this evolving research field, including novel architectures, advanced resource management techniques, cutting-edge ML/AI algorithms, innovative applications, design approaches, application support, and application modelization approaches that leverage the Cloud/Edge Continuum. We welcome contributions from researchers, experts and practitioners from academia and industry.
Download Full Details Here: Call for Papers: Topical Collection on Cloud/Edge Continuum: Innovations, Challenges, and Applications
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