| Description: |
The emergence of the Future Computing Continuum, which includes Cloud, Fog, Edge, and IoT paradigms, along with advancements in post-Moore era systems like Quantum processors, is driving the development of innovative digital solutions. These hybrid solutions are being applied in various sectors such as smart transportation logistics, smart cities, healthcare, and industry 4.0, where there is a need for distributed services that handle large-scale data generation, gathering, storage, and real-time analysis. The distributed nature of this continuum enhances the agility, responsiveness, and effectiveness of distributed applications. However, this paradigm shift also brings complexities to continuum management, including challenges related to orchestration, performance sustainability, sprawl management, resilience, and scalability. Overcoming these challenges requires a shift in focus towards embracing autonomous technologies and future computing systems, rather than just improving classical compute capabilities. Intelligent Cloud Operations and Services have gained attention as a way to embed intelligence in Edge-Cloud management layers and automate digital operations and services using AI/ML techniques. This approach reduces the need for human intervention, especially for critical issues that go beyond the capabilities of automation. Although, still in its early stages, both academia and industry anticipate advancements such as the adoption of future computing solutions for accelerated and near real-time analysis for tasks like root-cause analysis, anomaly detection, and predictive maintenance in Edge-Cloud systems. By leveraging emerging AI/ML and future computing technologies, the continuum supply chain can fulfill accelerated user demands for openness, security, privacy, resilience, energy and resource efficiency, while also enabling scalability, fostering innovation, and addressing industry-specific requirements. Following the successful first edition, the second edition of Intel4EC workshop aims to bring together researchers, developers and practitioners from academia and industry to present their experiences, results and research progress covering architectural designs, methods and applications of AI/ML-enabled Edge-Cloud operations and services. Additionally, this year in the face of increasing maturity of Quantum computing technologies, Intel4EC 2023 also welcomes Quantum Software community to present architectural vision, design, case studies, and software advancements that provides support for integrated, intelligent and adaptive hybrid Quantum and Edge-Cloud systems. By bringing together these research topics, Intel4EC looks forward to help the community define open standards, reference architectures, benchmarks that contributes to accelerated and systematized management pipeline for a myriad of Cloud-Edge operations. |