Disclaimer: HotCloudPerf 2022 will be fully virtual. Our experience with a virtual ICPE (and HotCloudperf) 2020 and 2021 was excellent and the participants rated the experience and format very highly. For more information, please contact us at: email@example.com
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 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.
Methodological and practical aspects of software engineering, performance engineering, and computer systems related to hot topics in cloud performance.
Empirical performance studies in cloud computing environments and systems, including observation, measurement, and surveys.
Performance analysis using modeling, simulation, and queueing theory for cloud environments, applications, and systems.
Tuning and auto-tuning of systems operating in cloud environments, e.g., auto-tiering of data or optimized resource deployment.
Software patterns and architectures for engineering cloud performance, e.g., serverless.
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.
Serverless computing platforms and microservices in cloud datacenters.
Case studies on cloud performance and its interaction with the computational continuum
January 15, 2022
January 20, 2022
February 25, 2022
April 9. or 10., 2022
Full-papers (8 pages including references)
Short-papers (4 pages including references)
Talk only (1-2 pages, not included in the proceedings).
The format of the submissions should 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.
Call for Papers
Cristina L. Abad, Escuela Superior Politécnica del Litoral, Ecuador, (firstname.lastname@example.org)
Simon Eismann, University of Würzburg, Germany, (email@example.com)
Alexandru Iosup, VU Amsterdam, the Netherlands (firstname.lastname@example.org)
To contact the chairs, you can email: email@example.com
Cristina Abad, Escuela Superior Politecnica del Litoral
Ahmed Ali-Eldin, Chalmers | University of Gothenburg
Marta Beltran, Universidad Rey Juan Carlos
Andre Bondi, Software Performance and Scalability Consulting LLC
Marc Brooker, Amazon Web Services
Lucy Cherkasova, ARM Research
Dmitry Duplyakin, University of Utah
Bogdan Ghit, Databricks
Wilhelm Hasselbring, University of Kiel
Nikolas Herbst, University of Würzburg
Alexandru Iosup, Vrije Universiteit Amsterdam
Alessandro Papadopoulos, Mälardalen University
Joel Scheuner, Chalmers | University of Gothenburg
Petr Tůma, Charles University
Alexandru Uta, Leiden University
Erwin van Eyk, Vrije Universiteit Amsterdam
André van Hoorn, University of Stuttgart
Chen Wang, IBM