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.
The HotCloudPerf workshop is technically sponsored by the Standard Performance Evaluation Corporation (SPEC)’s Research Group (RG) and ACM. It 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.
Topics of interest for HotCloudPerf 2027 include (but are not limited to):
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, and auto-tiering.
End-to-end performance engineering for pipelines and workflows in cloud environments, or for 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.
HPC, 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).
January 25, 2027, AoE
February 1, 2027, AoE
March 5, 2027, AoE
March 12, 2027
May 24 or 25, 2027
Abstract due (informative, new submissions welcomed)
Papers due
Author Notification
Camera-ready deadline
Workshop day
Full-papers (5 pages including tables, figures - one additional page for references, acknowledgement, appendices)
Short-papers (3 pages including tables, figures - one additional page for references, acknowledgement, appendices)
Talk only (1-2 pages, not included in the proceedings).
Important note: Starting 2026, all articles published by ACM – including all papers published in the ICPE 2027 proceedings – will be made Open Access (freely available on the public internet). This is greatly beneficial to the advancement of computer science and leads to increased usage and citation of research.
The papers submitted to HotCloudPerf, if they comply with the above submission types, fall in the non APC eligible category and will therefore be published free of charge.
At least one author of an accepted paper or talk is required to register and attend for the ICPE workshops. Registration fees are separated from publication fees.
The format of the submissions is single-anonymous 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.
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.
Articles and talk-only contributions are required to be submitted via HotCRP.
Klervie Toczé , VU Amsterdam, the Netherlands
Marcin Copik , ETH Zurich, Switzerland
Dragi Kimovski, Klagenfurt University, Austria
Cristina L. Abad, Escuela Superior Politécnica del Litoral, Ecuador
Alexandru Iosup, VU Amsterdam, the Netherlands
Nikolas Herbst, University Würzburg, Germany
André Bauer, Illinois Institute of Technology, US
Andre B. Bondi, Software Performance and Scalability Consulting LLC, US
Antonino Galletta, University of Messina, IT
Auday Al-Dulaimy, Mälardalen University and Dalarna University, SE
Cristina Abad, ESPOL, ECU
Daniele Bonetta, VU Amsterdam, NL
Dragi Kimovski, University of Klagenfurt, AT
Josef Spillner, Zurich University of Applied Sciences, CH
Larissa Schmid, KTH Royal Institute of Technology, SE
Lubomir Bulej, Charles University, CZ
Matthew Baughman, Princeton Plasma Physics Laboratory, US
Petr Tůma, Charles University, CZ
Prateek Sharma, Indiana University Bloomington, US
Sören Henning, Dynatrace Research, AT
Tommaso Cucinotta, Scuola Universitaria Superiore Sant’Anna, IT
Valerie Hayot-Sasson, ETS Montreal, CA
Wilhelm Hasselbring, Kiel University, DE
Zahra Najafabadi, University of Innsbruck, AT