The Seventh International Workshop on Container Technologies and Container Clouds
Collocated with Middleware
in Quebec City, Canada
in Quebec City, Canada
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 a technology have reached an acceptable level of maturity, we see today that most of the challenges hindering the full-scale adoption of this technology lies 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 sixth workshop on container technologies and container clouds solicits contributions in this area from researchers and practitioners in both the 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 The workshop welcomes submissions describing unpublished research, position papers as well as deployment experiences on various topics related to containers as outlined below: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, Mesos, Swarm...)
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 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 camera-ready version by October 15, 2021. 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 in 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 28, 2021 , October 5, 2021 (extended)
Notification of acceptance: October 10, 2021
Camera ready version: October 15, 2021, October 25, 2021 (extended)
Workshop date: December 6 from 11 am to 3 pm US Eastern Time
This will be a virtual event. Presentation will be made over zoom. The main conference, Middleware, will offer support with:
– Zoom for live face-to-face presentations and discussions;
– Slack channels for announcements and text-based discussions;
Note: at least one author must register for the conference workshop here.
Each talk will have 25 minutes for a live online presentation + 5 minutes Q&A
The workshop will take place on December 6 from 11 am to 3 pm US Eastern Time (UTC−05:00).
11:00 - 11: 15 Opening
11:15 - 11: 45 Keynote Talk by Ricardo Aravena: The Container Runtimes Lay of the Land in the Cloud Native World
11: 45 - 12:00 short break
12:00 - 12:30 Pods-as-Volumes: Effortlessly Integrating Storage Systems and Middleware into Kubernetes
12:30 - 13:00 Tritium: A Cross-layer Analytics System for Enhancing Microservice Rollouts in the Cloud
13:00 - 13:30 Designing a Kubernetes Operator for Machine Learning Applications
13:30 - 13:45 short break
13:45 - 14:15 On The Design of SLA-Aware and Cost-Efficient Event Driven Microservices
14:15 - 14:45 Tapiserí: Blueprint to modernize DevSecOps for real world
14:45 - 15:00 Closing remarks
Keynote Speaker:
Ricardo Aravena is the Infrastructure Engineering Manager at Rakuten helping automate everything with cloud native technologies. He's an open source enthusiast and co-chair of the CNCF TAG-Runtime. He has been working in tech for more than 20 years and comes from a diverse professional background, having been in different roles at large companies such as Cisco and VMware as well as startups such as Coupa, Hytrust, Exablox, and SnapLogic. Most recently he was at Branch Metrics where he spent 2 years working on automating their cloud infrastructure to handle millions of requests and petabytes of data on a daily basis.
Keynote Abstract:
This talk will talk about the history, current state and the future of container runtimes. We will explore questions like: When did organizations start using containers in production? What are some of the more secure or faster runtimes? How can multiple runtimes be used with Kubernetes? What container open source projects are a must watch now and in the future? The audience will leave with a better understanding of cloud native container runtime ecosystem and which container runtimes could be used for their specific workload case.
Ali Kanso – Microsoft
Seetharami R. Seelam – IBM T. J. Watson Research Center
Chen Wang - IBM T. J. Watson Research Center
Abdelouahed Gherbi, Ecole de Technologie Superieure, Montreal, Canada
Ricardo Koller, Google, United States of America
Eddy Truyen, KU Leuven, Belgium
Abdelouahed Gherbi, Ecole de Technologie Superieure, Montreal, Canada
Abhishek Gupta, Facebook, United States of America
Ahmed Bali, Ecole de Technologie Superieure, Canada
Aleksander Slominsky, IBM Research, United States of America
Ali Kanso, Microsoft, United States of America
Chen Wang, IBM Research, United States of America
Guillaume Rosinosky, UCLouvain, Belgium
Jinho Hwang, IBM Research, United States of America
Manar Jammal, York University, Canada
Edilmo Palencia, Microsoft, United States of America
Parisa Heidari, IBM Canada, Canada
Yogesh Barve, Vanderbilt University, United States of America
Nadjia Kara , Ecole de Technologie Superieure, Canada
Wubin Li, Ericsson, Canada