Intel4EC 2022

The emergence of Computing Continuum with ever-expanding Cloud boundaries and its evolution into the proverbial Fog, Edge, and IoT paradigms has paved the way for realizing transformational and innovative digital solutions. Emerging application areas such as smart transportation logistics, smart cities, healthcare, and industry 4.0 sectors encompassing highly distributed services that use many devices involving large-scale data generation, gathering, storage, and analysis in real-time further encourage its adoption. While the geo-distributed and federated nature of the continuum continues to improve the agility, responsiveness, and effectiveness of such distributed applications. This paradigmatic shift in the post-digital transformation era has also triggered drastically changing expectations of dynamic service deployment and infrastructure usage patterns, further introducing significant complexities to the Edge-Cloud management layers. These include challenges related to performance sustainability, sprawl management, resilience, and scalability of massive digital operations and services. These issues break down to reconciling many and typically allude to dynamically changing demand, requirements, and constraints of digital applications, which require the Edge-Cloud infrastructures to be deployed in sites that are in large numbers and are sometimes located in remote areas. To manage such fault-prone Edge-Cloud systems, infrastructure and service providers rely on human-intensive means to meet the increasing capacity demand and high availability of digital services. However, due to the continuously changing landscape, utilizing manual interventions to manage such large-scale systems is implausible. Hence, mitigating such issues requires digital applications and Edge-Cloud infrastructure to reposition their focus from adopting more efficient, effective, quick, and cheap compute capabilities to embracing more autonomous and self-driven technologies.  

Recently, Intelligent Cloud Operations and Services (a.k.a AIOps) gained traction that advocates using AI/ML techniques to embed intelligence at the Edge-Cloud management layers and automate digital operations and services by only requiring human intervention for critical issues beyond automation capabilities. While AIOps is still in an emerging phase, academia and industry foresee many possible advancements ranging from root-cause analysis, early anomaly detection, and mitigation to predictive and prescriptive maintenance and management in Edge-Cloud systems. Additionally, such AIOps powered transformation can ensure that the continuum supply chain meets the heightened user demands in terms of openness, security, privacy and resilience, energy and resource efficiency and provide Cloud-Edge technologies with an ability to scale, accelerate innovation and enable industry-specific needs.

The 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. By bringing together these research topics, Intel4EC looks forward to help the community define open standards, AI/ML benchmarks that contribute to experiment reproducibility and systematize the complete management pipeline for a myriad of Cloud-Edge operations. 

Topics

Intel4EC 2022 workshop aims to attract the Cloud, Fog, Edge, Big Data, AI/ML and distributed computing community for novel research contributions to intelligent, adaptive, manageable and observable Edge-Cloud systems that include topics of interest, but are not limited to:

• Performance instrumentation, monitoring and observability

• Causal attribution and root-cause analysis

• Performance diagnosis and prognosis

• Failure prediction and fault localisation

• Anomaly detection and prediction

• Chaos engineering and analytics

• Capacity planning, scalability and workload management

• Edge-Cloud sprawl management and multi-tenancy issues

• AI/ML techniques for cost and energy-efficient operations

• Adaptive resource provisioning, scheduling and run-time optimisation

• Trust, security and privacy-preserving AI/ML

• SLA breach, violation and vulnerability detection

• Service discovery and microservice composition

• Intelligent programming models

• Distributed data (e.g. logs, traces) integration, management and analysis

• Self-adaptive and self-healing systems

• Experiment reproducibility, benchmarks, and application case-studies

Submission Guidelines

The Intel4EC workshop invites original research papers that have not been previously published and are not currently under review for publication elsewhere.  Following paper categories are welcome:

• Regular Full Papers: Full research papers should describe the original work and be no longer than 6 pages (+ 2 for additional fee).

• Short Papers: Short research papers up to 4 pages in length, should contain enough information for the program committee to understand the scope of the contribution and evaluate the novelty of the problem or approach.

All manuscripts should adhere to page limits and be submitted in PDF using IEEE format. Each paper submitted to the workshop will be peer-reviewed by a minimum of three technical program committee members and will be evaluated on the basis of scientific significance, originality, technical quality, correctness, presentation, and relevance to the workshop attendees. The workshop proceedings will be published by IEEE in the same or a companion volume as the UCC 2022 conference and will be made available online via the IEEE digital library . At least one author of each accepted manuscript must register in full and attend the workshop to present the paper. Any workshop participant must register under the UCC 2022 workshop day registration fee or the conference fee.

Submission Page: https://easychair.org/conferences/?conf=intel4ec

Special Journal ISSUE

Selected papers from the Intel4EC workshop will be invited for submission of extended version for publication to Springer’s Journal of Cloud Computing: Advances Systems and Applications (JoCCASA) special issue.

Important Dates

• Submission Deadline: September 8th, 2022 September 15th, 2022 (Extended, Hard Deadline)

• Notification of Acceptance: September 15th, 2022 October 1st, 2022

• Camera-ready: October 31st, 2022

• Workshop Date: December 6-9, 2022 (exact date to be determined)

All deadlines are indicated as 23:59 AoE (Anywhere on Earth). Click to download the CFP.

TechniCal Program CommiTTEE

• Radu Prodan, Universität Klagenfurt, Austria

• Carlee Joe-Wong, Carnegie Mellon University, USA

• Huan Zhou, National Defence Technology University, China

• Jorge G. Barbosa, University of Porto, Portugal

• Sasko Ristov, University of Innsbruck, Austria

• Antorweep Chakravorty, University of Stavanger, Norway

• Gyan Ranjan, Ericsson, USA

• Chrysa Papagianni, University of Amsterdam, Netherlands

• Juan J. Durillo, Leibniz Supercomputing Centre, Germany

• Blesson Varghese, University of St Andrews, UK

• Long Cheng, North China Electric Power University, China

• Shajulin Benedict, Indian Institute of Information Technology, Kottayam, India

• Nikolay Nikolov, SINTEF, Norway

• Souvik Sengupta, iExec, France

• Mihhail Matskin, KTH Royal Institute of Technology, Sweden

• Fabrizio Marozzo, University of Calabria, Italy

• Vinod Nigade, Vrije University, Netherlands

• Atanas Hristov, University of Information Science and Technology, North Macedonia

Organisers and WorkShop Chairs

• Dr. Nishant Saurabh, Department of Information and Computing Sciences, Utrecht University, Netherlands (Email: n.saurabh@uu.nl)

• Dr. Zhiming Zhao, Informatics Institute, University of Amsterdam, Netherlands (Email: z.zhao@uva.nl)

• Dr. Dragi Kimovski, Institute of Information Technology, Universität Klagenfurt, Austria (Email: dragi.kimovski@aau.at)

CONTACT

For any queries and questions regarding the workshop and submissions, please contact the organisers.