May 5-9 , 2025 - Toronto, Canada
8th Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf 2025)
at ICPE 2025
Overview
The HotCloudPerf workshop proposes a meeting venue for academics and practitioners, from experts to trainees, in the field of cloud computing performance. The new understanding of cloud computing covers the full computational continuum from data centers to edge resources to IoT sensors and devices. The workshop aims to engage this community and to lead to the development of new methodological aspects for gaining a deeper understanding not only of cloud performance, but also of cloud operation and behavior, through diverse quantitative evaluation tools, including benchmarks, metrics, and workload generators. The workshop focuses on novel cloud properties such as elasticity, performance isolation, dependability, and other non-functional system properties, in addition to classical performance-related metrics such as response time, throughput, scalability, and efficiency.
Acknowledgement
The HotCloudPerf workshop is technically sponsored by the Standard Performance Evaluation Corporation (SPEC)’s Research Group (RG) and is organized annually by the RG Cloud Group. HotCloudPerf has emerged from the series of yearly meetings organized by the RG Cloud Group, since 2013. The RG Cloud Group group is taking a broad approach, relevant for both academia and industry, to cloud benchmarking, quantitative evaluation, and experimental analysis.
Keynotes
TBA
Topics
Empirical performance studies in cloud computing environments, applications, and systems, including observation, measurement, and surveys.
Performance analysis using modeling and queueing theory for cloud environments, applications, and systems.
Simulation-based studies for all aspects of cloud computing performance.
Operational techniques for self-organization, resource management, and scheduling in cloud environments, e.g. service meshes, auto-scaling, auto-tiering.
End-to-end performance engineering for pipelines and workflows in cloud environments, or of applications with non-trivial SLAs.
Tools for monitoring and studying cloud computing performance.
General and specific methods and methodologies for understanding and engineering cloud performance.
Methodological and practical aspects of software engineering, performance engineering, and computer systems related to hot topics in cloud performance, e.g. serverless, microservices, non Von Neumann architectures, virtualization/containerization.
Case studies on cloud performance and its interaction with the computing continuum, including benchmarking, exploratory studies, dataset collection and negative results.
Sustainability and energy-efficiency in cloud computing environments, applications, and systems.
Network, storage and accelerators in the computing continuum.
Cloud computing environments, applications, and systems should be understood in the broad sense and include works looking at the computing continuum (i.e. IoT-edge/fog-cloud).
Important Dates
January 17, 2025, AoE
January 24, 2025, AoE
February 17, 2025
February 26, 2025
May 5-9, 2025
Abstract due (informative, new submissions welcomed)
Papers due
Author Notification
Camera-ready deadline
Workshop day
Submission Types
Full-papers (6 pages including tables and figures but not references and appendices)
Short-papers (3 pages including tables and figures but not references and appendices)
Talk only (1-2 pages, not included in the proceedings).
Format
The format of the submissions is single-blind and needs to follow the ACM format of the companion conference, ICPE.
All presented papers will have a good amount of time allocated for Q&A plus feedback. In addition, the presentation session will be wrapped up by a 10-15 min discussion.
ACM Instructions for Authors
By submitting your article to an ACM Publication, you are hereby acknowledging that you and your co-authors are subject to all ACM Publications Policies, including ACM’s new Publications Policy on Research Involving Human Participants and Subjects. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy.
Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process for your accepted paper. ACM has been involved in ORCID from the start and we have recently made a commitment to collect ORCID IDs from all of our published authors. The collection process has started and will roll out as a requirement throughout 2022. We are committed to improve author discoverability, ensure proper attribution and contribute to ongoing community efforts around name normalization; your ORCID ID will help in these efforts.
Submission Site
Articles and talk-only contributions are required to be submitted via HotCRP.
Call for Papers
You can find the full Call for Papers (CfP) here: CfP
Organizing Committee
Klervie Toczé, VU Amsterdam, the Netherlands
André Bauer, Illinois Institute of Technology, USA
Dragi Kimovski, Klagenfurt University, Austria
Daniele Bonetta, VU Amsterdam, the Netherlands
Advisory Board
Cristina L. Abad, Escuela Superior Politécnica del Litoral, Ecuador
Nikolas Herbst, University of Würzburg, Germany
Alexandru Iosup, VU Amsterdam, the Netherlands
Program Committee (preliminary)
Cristina Abad, Escuela Superior Politecnica del Litoral
Andre Bondi, Software Performance and Scalability Consulting LLC
Tiziano De Matteis, Vrije Universiteit Amsterdam
Wilhelm Hasselbring, University of Kiel
Nikolas Herbst, University of Würzburg
Alexandru Iosup, Vrije Universiteit Amsterdam
Dragi Kimovski, University of Klagenfurt, Austria
Tania Lorido, Roblox
Narges Mehran, University of Salzburg, Austria
Zahra Najafabadi, University of Innsbruck, Austria
Issam Rais, The Arctic University of Norway
Prateek Sharma, Indiana University Bloomington
Josef Spillner, ZHAW School of Engineering, Zurich
Sacheendra Talluri, Vrije Universiteit Amsterdam
Klervie Toczé, Linköpings universitet
Petr Tůma, Charles University
André van Hoorn, University of Hamburg
Chen Wang, IBM