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Subject:
From:
"Nishant Saurabh Dr." <[log in to unmask]>
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Date:
Thu, 17 Aug 2023 03:39:02 -0400
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Call for Papers: The Second International Workshop on Intelligent and Adaptive Edge-Cloud Operations and Services (Intel4EC),Deadline: 31st August 2023, AOE 
In conjunction with the 16th IEEE/ACM Utility and Cloud Computing Conference (UCC) 2023.
Where: Taormina (Messina), Italy.
When: Intel4EC Workshop Date: December 04-07, 2023.
Workshop website: https://www.intel4ec-workshop.nl/
Workshop Proceedings: Published by ACM, and made online by ACM digital library. 
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Apologies if you receive this more than once.
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Important Dates:
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Submission Deadline: August 31, 2023
Notification of Acceptance: 30 September, 2023
Camera-ready: 21 October 2023
Workshop Date: December 4-7, 2023 (exact date to be determined)
All deadlines are indicated as 23:59 AoE (Anywhere on Earth).
Submission page: https://cmt3.research.microsoft.com/Intel4EC2023

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Scope:
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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, 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. 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 A
 I/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. 

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 helping the community define open standards, reference architectures, benchmarks that contribute to accelerated and systematized management pipeline for a myriad of Cloud-Edge operations.

Intel4EC 2023 workshop aims to attract the Cloud, Fog, Edge, AI/ML, Quantum software 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
-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
-Quantum software for Edge-Cloud (e.g. vision, design, architecture, operations, and case studies)

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Submission Guidelines:
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The Intel4EC workshop invites original research papers, as well as architectural vision papers and experience reports 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) including figures, tables, and references.

Short Papers: Short research papers up to 4 pages in length including figures, tables, and references, 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 ACM double-column format. Your submission is subject to a determination that you are not under any sanctions by ACM. 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 ACM and will be made available online via the ACM digital library . At least one author of each accepted manuscript must be registered for the conference and attend the workshop to present the paper, for the paper to be published in the proceedings.

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Submission Page:
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https://cmt3.research.microsoft.com/Intel4EC2023.

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Workshop Chairs:
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Dr. Nishant Saurabh, Department of Information and Computing Sciences, Utrecht University, The Netherlands (Email: [log in to unmask])
Dr. Dragi Kimovski, Institute of Information Technology, Universit├Ąt Klagenfurt, Austria (Email: [log in to unmask])
Dr. Zhiming Zhao, Informatics Institute, University of Amsterdam, The Netherlands (Email: [log in to unmask])

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