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.
Associate Professor, Sant'Anna School of Advanced Studies
Description: Information and Communications Technologies have been undergoing a relentless evolution, with the widespread availability of affordable high-speed Internet connections, that caused a major paradigm shift towards distributed computing infrastructures. Cloud Computing has established itself as the de-facto standard for managing distributed infrastructures on top of which an ever-increasing number of on-line services are made available, impacting our everyday lives.
In modern and future distributed computing scenarios, there is an increasing interest in deploying time-sensitive applications in Cloud infrastructures, where the ability to provide end-to-end performance and availability guarantees for the hosted applications, in conjunction with resource and energy efficiency, becomes paramount. Application domains of interest include: interactive multimedia, virtual and augmented reality and on-line gaming; offloading of advanced functionality in robotics, factory automation, Industry 4.0 and automotive; real-time packet processing and software-defined telecommunications, and others. In these scenarios, it is important to provide performance guarantees to end-users, despite temporal interference and noisy neighbor effects due to resource sharing and multi-tenancy, while tolerating failures at various levels. Among the key challenges a provider has to tackle in this context, there are key design and architectural decisions related to the necessary trade-offs between performance, costs, and energy efficiency.
In this talk, I'll make an overview of the research projects I've been overseeing on these topics, spanning nearly 2 decades of research carried out jointly with international academic and industrial partners, highlighting what challenges have been tackled, what mechanisms have been realized, including our on-going development of real-time CPU schedulers for the Linux kernel, and what challenges still lie ahead in the future.
Bio: Tommaso Cucinotta is Associate Professor at the Real-Time Systems Lab (RETIS) of Sant'Anna School of Advanced Studies in Pisa, Italy. He has a MSc in Computer Engineering from University of Pisa, and a PhD in Computer Engineering from Sant'Anna. His research interests include operating systems, predictable execution and adaptive CPU scheduling for real-time software systems, with reference to a wide variety of platforms, ranging from embedded systems to infrastructures for Cloud and Distributed Computing and Network Function Virtualization (NFV). He has been Member of Technical Staff (MTS) in Bell Labs in Dublin (Ireland), investigating on security and real-time performance of Cloud and NFV services. He has been a senior software development engineer in Amazon Web Services (AWS) in Dublin (Ireland), where he worked on improving the performance and scalability of the DynamoDB real-time NoSQL data-store.
Since 2016, he is Associate Professor at Scuola Sant'Anna and coordinator of the Cyber-Physical Research Area since 2019. Tommaso Cucinotta has also brought a number of funded research projects to the RETIS lab, notably EU projects, and international collaborations with private companies, including some big-tech ones. Tommaso Cucinotta coauthored roughly 150 international peer-reviewed scientific publications on topics in his areas of interest, as well as 11 granted and 20 filed patents. He is in the technical program committee of a number of international conferences related to his research topics, and he also performs regularly peer-reviewing for papers submitted to prestigious international journals. He is Associate Editor for the IEEE Transactions on Services Computing and IEEE Transactions on Cloud Computing journals.
Additional keynote speaker(s): TBA
Topics of interest for HotCloudPerf 2026 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 19, 2026, AoE
January 26 30, 2026, AoE
February 27, 2026, AoE
March 4, 2026
May 5, 2026
Abstract due (informative, new submissions welcomed)
Papers due (extended, firm)
Author Notification
Camera-ready deadline (hard)
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 2026 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, will benefit from automatic waivers for short papers (sponsored by SIGSOFT in 2026) 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-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.
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
Sacheendra Talluri, Clickhouse, the Netherlands
Marcin Copik , ETH Zurich, Switzerland
Nikolas Herbst, University Würzburg, Germany
Cristina L. Abad, Escuela Superior Politécnica del Litoral, Ecuador
Alexandru Iosup, VU Amsterdam, the Netherlands
Dragi Kimovski, Klagenfurt University, Austria
Akshay Pratinav, Intuit, US
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