The Ninth International Workshop on Container Technologies and Container Clouds
Collocated with Middleware
in Bologna, Italy
in Bologna, Italy
Containers are lightweight OS-level virtualization. In recent years, container-based virtualization for applications has gained immense popularity thanks to the success of technologies like Docker. Container management is one of the key challenges of adopting this technology. As a result, management middleware like Kubernetes, Mesos, etc., are witnessing widespread adoption in the industry today. While Containers as technology have reached an acceptable level of maturity, we see today that most of the challenges hindering the full-scale adoption of this technology lie in the limitation of the existing middleware managing containerized workloads. Problems around scalability, security, high availability, disaster recovery, and compliance are still active research areas that require innovative solutions.
The aim of this workshop is to shed light on the main challenges and solutions of running containerized workloads in clustered environments.
The ninth workshop on container technologies and container clouds solicits contributions in this area from researchers and practitioners in both academia and industry. The workshop welcomes submissions describing unpublished research, position papers as well as deployment experiences on various topics related to containers as outlined below:
Analyzing Scalability and performance of container management middleware (K8s, Docker, OpenShift,...)
MLOps and using containers for processing ML workloads
Use cases for containers in Machine Learning workloads
Security, isolation, and performance of containers in shared environments
Network architectures for multi-host container deployments
Orchestration models for cloud-scale deployments
High availability systems for containerized workloads
Leveraging hardware support for containers and containerized workloads
Migrating and optimizing traditional workloads for containers
Operational issues surrounding the management of large clusters of containers
Container use cases and challenges for HPC, Big Data, and IoT applications
Leveraging cognitive techniques for container management
Performance enhancement of containers
Use cases of using containers such as serverless computing and PaaS
Comparative studies between different middleware for managing containers
Comparative studies between containers, uni-kernels, and any other virtualization technologies
Other topics relevant to containers management
Accepted papers should be no longer than 6 pages in the standard ACM format. Note that at least one author on each accepted workshop paper must hold a full pre-conference registration. As in previous years, the Middleware conference will provide companion proceedings including all workshop papers, which will be available in the ACM Digital Library. This is subject to the availability of a camera-ready version by October 27, 2023. Please upload your papers in PDF form to hotCRP.
Submissions will be judged on novelty, relevance, clarity of presentation, and correctness. Authors of accepted submissions are required to present their work. Accepted papers and abstracts will be made available on the conference website at least one week before the workshop so that the participants can come prepared having read the papers. Accepted submissions will be published via ACM Digital Library
For the authors of accepted papers, you will be contacted by the main conference with a specific URL for your camera-ready submission.
Paper submissions: September 15, September 25, 2023
Notification of acceptance: October 10, 2023 , October 15, 2023
Camera-ready version: October 27, 2023
Workshop date: December 11, 2023
Ali Kanso – Microsoft
Abdelouahed Gherbi, Ecole de Technologie Superieure, Montreal, Canada
Seetharami R. Seelam – IBM T. J. Watson Research Center
Ricardo Aravena – Rakuten
Chen Wang - IBM T. J. Watson Research Center
Ke Wang - Google
Chen Wang - IBM T. J. Watson Research Center
Eddy Truyen, KU Leuven, Belgium
Yosr Jarraya, Ericsson, Canada
Marco Cello, Pregmune, United States of America
Abdelouahed Gherbi, Ecole de Technologie Superieure, Montreal, Canada
Aleksander Slominsky, IBM Research, United States of America
Laaziz Lahloo, Ecole de Technologie Superieure, Montreal, Canada
Mike Spritzer, IBM Research, United States of America
Ali Kanso, Microsoft, United States of America
Rolando Martins, Ecole de Technologie Superieure, Montreal, Canada
Chen Wang, IBM Research, United States of America
Guillaume Rosinosky, UCLouvain, Belgium
Christoph Doblander, Microsoft, United States of America
Yogesh Barve, Vanderbilt University, United States of America