[hpc-announce] 2nd Workshop on Urgent Analytics for the Computing Continuum (QUICK 2024) - Second Call for Papers

[Daniel Balouek]

*** Call for Papers ***

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The 2nd Workshop on Urgent Analytics for the Computing Continuum (QUICK'24) in conjunction with IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID) 2024

https://quick-workshop.github.io/
May 6, 2024, Philadelphia, USA

Deadline for abstract submission: Dec 15, 2023 AoE
Deadline for papers: Dec 22, 2023 AoE

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The Second Workshop on Urgent Analytics for Distributed Computing (QUICK'24) aims to provide a platform that address distributed applications that enable important decision-making under time and quality constraints while maintaining desired confidence. We seek scientific contributions that leverage the aggregation of heterogeneous resources along the data path from the Edge to the Cloud and/or HPC, also known as the Computing Continuum, to support critical analytics applications. Data-driven dynamic workflows, which combine knowledge from multiple data sources and integrate it on-demand with large-scale computational models, are some of the canonical use cases for this theme.

We are looking for original high-quality research and position papers on urgent applications, programming models, and resource management software for the computing continuum. Topics of interest for workshop submissions include, but are not limited to:

- Algorithms, models and systems considerations in designing urgent applications across the Computing Continuum
- Programming support for user expectations and constraints in terms of response time, solution quality, data resolution, cost, energy, etc.
- Run-time techniques to provide flexible execution models for computation and communication.
- Resource management frameworks and interfaces supporting scheduling, resource allocations and application execution for the computing continuum.
- Use of AI and ML techniques to steer urgency in systems and applications.
 - Experiences and use cases applying urgent science and emergency to computing continuum infrastructures.
- Edge Intelligence models, Autonomic Computing and Distributed Machine Learning
- Policy driven service and resource life-cycle management
- Feedback, Control and Observability for the Continuum
- Data analysis techniques and network solutions for emergency prediction and disaster management
- Opportunistic and ad-hoc communication systems

Important Dates

Abstract Submission Deadline: Jan 7, 2023 AoE
Paper Submission Deadline: Jan 15, 2023 AoE
Author Notification: Feb 23, 2024   
Camera ready papers: March 4, 2024   
Workshop: May 6, 2024

Submission Guidelines

Authors are invited to submit papers electronically, through EasyChair. The papers should be submitted in PDF, using IEEE format for conference proceedings. Paper length must not exceed 8 pages (including figures, tables and references). Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers determined to be under active review elsewhere will be rejected without review. Submissions received after the due date, exceeding the length limit, or not appropriately structured may also not be considered. Authors may contact the conference chairs for more information. 

Publication

All accepted papers will be published as part of the CCGRIDW proceedings (CCGrid Workshops proceedings). All previous CCGrid proceedings have been published by the IEEE and available online through IEEE Digital Library (EI indexing).


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Daniel Balouek, Inria Permanent Researcher
Inria STACK team - IMT Atlantique  <https://stack-research-group.gitlabpages.inria.fr/web/>
daniel.balouek at inria.fr | daniel-balouek.com