We are organizing HotCloudPerf as an online event on April 21, between 17:00-21:00 CEST (EU time), equivalent to 09:00 - 13:00 MDT time (Edmonton). If you wish to join, please send an email to the organizers at: email@example.com. Please check out our accepted papers and keynote speakers.
The 3rd HotCloudPerf workshop is organized as a meeting venue for academics and practitioners, from experts to trainees, in the field of cloud computing performance. The workshop aims to engage this community, and to lead to the development of new methodological aspects for gaining 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.
Theme of the 2020 workshop's edition
“Performance variability of cloud datacenters and the implications of such phenomena on application performance.”
Articles focusing on this topic are particularly encouraged for HotCloudPerf-2020
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.
The 2019 workshop's edition: https://hotcloudperf2019.spec.org/
Serverless computing platforms and micro-services in cloud datacenters.
Understanding and engineering dependability and non-traditional performance requirements for cloud datacenters.
Studying performance variability in cloud datacenters and/or solutions for taming performance variability in clouds.
The implications of performance variability on performance reproducibility.
Running specialized services with performance guarantees, such as Business Process as a Service, Data as a Service.
Extending the cloud datacenter to support the non-functional requirements of converged workloads, including IoT, HPC, and big data.
Experience reports and use-cases with understanding and engineering performance in the cloud datacenter.
Performance variability and/or guarantees in serverless/FaaS environments.
Abstract Due: February 1, 2020
Paper due: February 5, 2020
Paper due: January 25, 2020
Author notifications: February 17, 2020
Camera ready papers: February 24, 2020
Workshop: April 21, 2020
Authors are invited to submit:
full-papers (6 pages),
short-papers (3 pages),
talk only (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, presentation session will be wrapped-up by a 10-15 min discussion. All materials presented during the workshop will be made available, in widely used formats (i.e., pdf).
Please submit via EasyChair at the following url: https://easychair.org/conferences/?conf=hotcloudperf2020
Alexandru Uta, Leiden University &VU Amsterdam, Netherlands (firstname.lastname@example.org)
Dmitry Duplyakin, University of Utah, USA (email@example.com)
Cristina Abad, Escuela Superior Politecnica del Litoral, Ecuador, (firstname.lastname@example.org)
Nikolas Herbst, University of Würzburg, Germany, (email@example.com)
Alexandru Iosup, VU Amsterdam & TU Delft, Netherlands (firstname.lastname@example.org)
To contact the chairs, you can email: email@example.com
Alexandru Uta, VU Amsterdam
Dmitry Duplyakin, U Utah
Cristina Abad, ESPOL
Nikolas Herbst, U. Würzburg
Alexandru Iosup, VU Amsterdam
Bogdan Ghit, Databricks
Joel Scheuner, Chalmers
André van Hoorn, U of Stuttgart
Rich Wolski, UCSB
Geoffrey Fox, Indiana University
Lucy Cherkasova, ARM Research
Marta Beltran, Universidad Rey Juan Carlos
Chen Wang, IBM
Wilhelm Hasselbring, U. Kiel
Ahmed Ali-Eldin, U. Mass
Petr Tuma, Charles University