The digital transformation of all areas of life is accelerated in this century by novel Cloud-Edge Continuum services, infrastructures, data platforms and cyber-physical systems. This broader scope of computing calls for technically sound contributions that combine scale with convenience and reliability. Indeed, society and economy depend on Cloud-Edge Continuum applications, delivering computing on demand in every location as a general service to the public, in analogy to conventional utilities. The engineering of such systems and applications calls for scientifically proven approaches, methods, tools and technologies.

The IEEE/ACM International Conference on Utility and Cloud Computing (UCC) is a premier annual conference series aiming to provide a platform for researchers from both academia and industry to present new discoveries in the broad area of Cloud and Edge utility computing and applications. Previous events were held in Shanghai, China (Cloud 2009), Melbourne, Australia (Cloud 2010 & UCC 2011), Chennai, India (UCC 2010), Chicago, USA (UCC 2012), Dresden, Germany (UCC2013), London, UK (UCC 2014), Limassol, Cyprus (UCC 2015), Shanghai, China (UCC 2016), Austin, USA (UCC 2017), Zurich, Switzerland (UCC 2018), Aucland, New Zealand (UCC 2019), Leicester, UK (UCC 2020), Leicester, UK (UCC 2021), and Vancouver, USA (UCC 2022). UCC 2023 will be held in conjunction with the 10th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2023) in Taormina, Messina, Italy.

Authors are invited to submit original, unpublished research manuscripts in all areas of Cloud-Edge Continuum for utility computing and related computing paradigms such as Serverless, Distributed Computing and Function as a Service.

Topics of interest include (but not limited to):

    Resource Management for Cloud-Edge Continuum
        Principles and Theoretical Foundations of Utility Computing
        Architectural Models and Patterns to Achieve Utility
        Virtualization, Containerization, Composition and Orchestration
        Formal and Qualitative Aspects
        Middleware and Stacks
        Networking and Network Management
        Saas, Paas, Iaas and XaaS
        Resource Management and Scalability: Brokering, Scheduling, Capacity planning and Elasticity
        Security, Trust, Privacy, Policies and Blockchains
        Autonomic, Adaptive, Self-*, SLAs, Management and Monitoring
        Designs and Deployment Models: Private, Public, Hybrid, Federated, Aggregated, Inter-Cloud
        High Performance Computing (HPC)
        Performance Analysis and Modeling
    Artificial Intelligence for Cloud-Edge Continuum
        Machine Learning Operations (MLOps)
        Artificial Intelligence Solutions for Scheduling, Provisioning and Deployment
        Artificial Intelligence Solutions for Orchestration
        GPU as a Service (GPUaaS), Artificial Intelligence as a Service (AIaaS)
        Support for Extract/Transform/Load (ETL) or ETL Pipelines
        Machine Learning Cloud Frameworks
        Artificial Intelligence Infrastructure
        Distributed, Federated, and Collaborative Learning
    Applications and Systems for Cloud-Edge Continuum
        Native Application Design, Programming Models and Engineering
        Serverless and Function-Based Applications (FaaS)
        Microservices Architectures
        Quantum Computing
        Interfacing to Internet of Things (IoT) Applications
        Utility-Driven Models and Mechanisms in All Domains (e.g., Smart Cities, Mobility, Healthcare, Industry 4.0)
        Micro Data Centers
        Interfacing to Mobile Devices: Management, Hierarchy Models and Business Models
        Energy-Efficiency and Sustainability
        Development Operations (DevOps)
        Economic and Business Models
        Business and Legal Implications Beyond Technology