[hpc-announce] WoC 2017 CFP- IEEE 3rd International Workshop on Container Technologies and Container Clouds

[Parisa Heidari]

[Our apologies for possible cross posting]
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CALL FOR PAPERS

--** WOC 2017 **--
**IEEE Third International Workshop on Container Technologies and Container Clouds**

http://researcher.watson.ibm.com/researcher/view_group.php?id=7476

April 4-7, 2017
Vancouver, Canada
Held in conjunction with IEEE International Conference on Cloud Engineering (IC2E) 2017
[http://conferences.computer.org/IC2E/2017/index.htm]

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IMPORTANT DATES:
Submission Deadline: Jan 15, 2017
Author Notification: Jan 25, 2017
Camera-ready Deadline: Feb 1, 2017
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Containers are a lightweight OS-level virtualization abstraction primarily based on namespace  isolation and control groups. In the recent years, container-based virtualization for applications
has gained immense popularity thanks to the success of technologies like Docker. Container packaging mechanisms like Docker, LXD and Rkt, as well as management frameworks like Kubernetes, Mesos, etc., are witnessing widespread adoption in the industry today. Container technologies have eliminated the feature parity between development and production environment by enabling developers to package applications and their dependencies as a single unit that can be run across diverse operating environments.

Though containers provide a great amount of flexibility and portability from a developer's perspective, there are several important challenges that need to be addressed by the infrastructure provider, in order to run these virtualized applications in a cloud environment. The second 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 The workshop welcomes submissions describing unpublished research, position papers as well as deployment experiences on various topics related to containers as outlined below:

TOPICS:

Topics of interested include but are not limited to:
- Security, isolation and performance of containers
- 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
- Other topics relevant to containers

SUBMISSION:

Submissions are single blind and should follow the IEEE conference guidelines for formatting. They can be in one of the two formats:
 a traditional 5 page paper (excluding references) or
 a 1-2 page extended abstract/proposal for operational experiences and position pieces.
The category of submission (paper or extended abstract) should be mentioned in the title. Please upload your papers in PDF form to easychair.
[https://easychair.org/account/signin.cgi?key=44185528.oarH2SCdB2daBD7d]

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 IEEExplore.


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ORGANIZING COMMITTEE

__ Workshop chair:

* Seetharami R. Seelam – IBM T. J. Watson Research Center
* Ali Kanso – IBM T. J. Watson Research Center

__ Publicity Chair:

* Shriram Rajagopalan – IBM T. J. Watson Research Center
* Parisa Heidari – Ericsson Research, Canada

__ Program Committee:

* Michela Taufer, University of Deleware
* Gregor von Laszewski, Indian University
* Olivier Sallou, INRIA
* Wei Tang, Google Inc.
* Ming Zhao, Arizona State University
* Abhishek Gupta, Intel
* Abdelouahed Gherbi, ETS University, Montreal, Canada
* Wubin Li, Ericsson Research, Montreal, Canada
* Timothy Wood, George Washington University
* Shriram Rajagopalan, IBM T. J. Watson Research Center



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