PACE Workshop at UCC 2023

PACE: Performance-Driven Adaptive Edge/Cloud Environments
IMPORTANT: PACE was merged into the CIFS Workshop

Technical description and Goals

The goal of the workshop is to bring together researchers and practitioners in the area of edge/cloud continuum focusing on performance modeling and engineering. The workshop will explore novel performance-related topics in the area cloud continuum. The workshop seeks not only original research contributions, but also experience reports, papers describing exemplars and datasets, and papers focusing on education in this field.

Audience

This workshop is intended for both academia and industry practitioners interested in performance-related topics connected to cloud and edge computing. This includes infrastructure developers involved in resource management to application developers who would like to use performance-related models, architectures, tools and methods as a means to adapt their application scheduling and placement on cloud and edge infrastructure

Topics of interest

The workshops seeks contribution of the following types:

  • Papers describing original research
  • Papers describing innovative exemplars or case studies focusing on performance in connection to cloud
  • Papers featuring and describing original public datasets to that can be used to foster research of performance in connection to cloud
  • Papers focusing on education in performance-related topics in cloud
  • Papers describing industrial experience and practice with performance in cloud

The topics

  • Modeling performance in cloud continuum
  • Models in runtime, models in the loop
  • Models and techniques for specific application domains (data-intensive, stream processing, augmented reality, games, …)
  • Cloud/edge continuum-specific performance evaluation and analysis
  • Measurement techniques and benchmarking for the continuum
  • Autonomous performance-driven operations in the continuum
  • Performance-based adaptation and infrastructure optimization in the continuum
  • Performance simulations in/of the continuum
  • Performance-based resource scheduling and orchestration in the continuum
  • Interference-aware scheduling for the continuum
  • Serverless computing adaptation across edge/cloud environments
  • Autonomic control for service execution
  • Service partitioning and dynamic placement
  • Performance self-monitoring and reflection
  • Performance-aware DevOps for cloud
  • Performance experimentations in the continuum
  • Machine learning and AI for performance-related problems
  • Performance transparency in cloud and management of cloud performance knowledge
  • Performance-aware software architectural models for cloud
  • Performance-reflecting software architectures
  • Performance-aware continuum frameworks
  • Cloud performance knowledge and education

Important dates

  • Submission deadline: September 25, 2023 (AoE)
  • Notification deadline: October 19, 2023
  • Camera ready deadline: October 31, 2023
  • Workshop: December 4-7, 2023 (exact date TBD)

Submission instructions

The PACE workshop invites original unpublished work. Submissions should use the standard ACM double column format for conference proceedings and should not exceed 6 pages (up to 2 extra pages can be purchased). Submissions should be anonymized for double blind review and submitted through EasyChair at https://easychair.org/conferences?conf=pace2023workshop.

Submissions are evaluated by the program committee members in a double blind review process and judged using the usual criteria of originality, correctness, relevance and presentation quality. Accepted submissions will be published by ACM and made available in the ACM Digital Library. At least one author of an accepted submission must register with a full fee for the conference and present the paper.

Please mail the organizers at pace2023workshop@easychair.org with any requests.

Organizers

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Tomáš Bureš

Tomáš Bureš is a full professor and former chair of the Department of Distributed and Dependable Systems at Charles University. He had a doctoral internship at NASA AMES and, after his PhD, one year postdoc position at Mälardalen University and also held a visiting professor position at LMU Munich. His research focus is in software architectures for self-adaptive systems, cyber-physical, and edge-cloud systems, especially in combination with machine learning. He served as program committee chair and/or member of numerous international conferences (General Chair of ECSA 2022, PC chair ECSA 2019, PC chair SEAA 2018, PC chair QoSA 2014, Artifacts chair SEAMS 2018, Tools track ICSA 2019 …). He is an associate editor of Computer Science Review (Elsevier) and ACM Transactions on Autonomous and Adaptive Systems.
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Petr Tůma

Petr Tůma received his PhD in software systems from Charles University, where he is currently a professor with the Department of Distributed and Dependable Systems. His research interests revolve around software and systems performance, with particular focus on integrating performance awareness into the software development process. He is a long time member of the SPEC research group and serving in various functions at performance related conferences such as ICPE.
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Omer Rana

Omer Rana received the Ph.D. degree in neural computing and parallel architecture from Imperial College of Science, Technology & Medicine (University of London). He is currently a Professor of performance engineering with the School of Computer Science and Informatics, Cardiff University. His research interests include high performance distributed systems and machine learning. He has also used these approaches in a number of application areas. He is the general co-chair of the IEEE Edge computing conference and has also served as general co-chair or member of the steering committee of a number of IEEE and ACM conferences (such as CCGrid, UCC, EuroPar). He is a member of the editorial board of IEEE Transactions on Parallel and Distributed Systems and contributed to a number of special issues as co-editor.