May, 2024 - London, UK
7th Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf 2024)
at ICPE 2024
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.
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 25, 2024
February 1, 2024
March 8, 2024
March 15, 2024
May 7 or 11, 2024
Abstract due
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 EasyChair. The track corresponding to HotCloudPerf2024 should be selected.
Call for Papers
You can find the full Call for Papers (CfP) here: CfP
Organizing Committee
Advisory Board
Dragi Kimovski, Klagenfurt University, Austria
Klervie Toczé, Linköping University, Sweden
Nikolas Herbst, University of Würzburg, Germany
Tiziano De Matteis, VU Amsterdam, the Netherlands
Cristina L. Abad, Escuela Superior Politécnica del Litoral, Ecuador
Alexandru Iosup, VU Amsterdam, the Netherlands
Program Committee
(2023, to be updated for 2024)
(2023, to be updated for 2024)
Cristina Abad, Escuela Superior Politecnica del Litoral
Auday Al-Dulaimy, Mälardalen University
Ahmed Ali-Eldin, Chalmers University of Technology
Atakan Aral, University of Vienna
Marta Beltran, Universidad Rey Juan Carlos
Andre Bondi, Software Performance and Scalability Consulting LLC
Marc Brooker, Amazon Web Services
Wilhelm Hasselbring, University of Kiel
Nikolas Herbst, University of Würzburg
Alexandru Iosup, Vrije Universiteit Amsterdam
Dragi Kimovski, University of Klagenfurt
Tania Lorido, Roblox
Satadru Pan, Meta
Riccardo Pinciroli, Gran Sasso Science Institute
Issam Rais, The Artic University of Norway
Prateek Sharma, Indiana University Bloomington
Sacheendra Talluri, Vrije Universiteit Amsterdam
Petr Tůma, Charles University
André van Hoorn, University of Hamburg
Chen Wang, IBM