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AMLCS 2017 : 1st Workshop on Autonomic Management of Large Scale Container-based Systems


When Sep 18, 2017 - Sep 22, 2017
Where Tucson, AZ, USA
Submission Deadline Jun 25, 2017
Notification Due Jul 9, 2017
Final Version Due Jul 21, 2017
Categories    cloud computing   autonomic systems   containers   performance

Call For Papers

===================== Call for Papers =====================

1st Workshop on Autonomic Management of Large Scale Container-based Systems (AMLCS 2017)

September 18-22, 2017, Tucson, AZ, USA

Co-located with the 2017 IEEE International Conference on Cloud and Autonomic Computing (ICCAC 2017)


Containers are a lightweight OS-level virtualization abstraction primarily based on namespace isolation and control groups.
A container is a software environment where one can install an application or application component (the so called micro service) and all the library dependencies, binaries, and basic configurations needed to run the application. Containers provide a higher level of abstraction for the process lifecycle management, thus enabling not only to easily start and stop applications, but also to upgrade and release new software versions in a seamless way. Container packaging mechanisms, like Docker, LXD, and RKT, as well as management frameworks, like Kubernetes, Cloudify, Mesos, etc., are promoting their widespread adoption in the Cloud, Big Data and the Internet industry today. Indeed, containers may solve many issues, e.g., application dependencies, application portability, performance overhead.

Despite the wide interest in containers, we are far away from their maturity stage and there are still many open research issues. This workshop is specifically focused on the challenges of autonomic management of large-scale container based systems.

The workshop is supposed to share new findings, exchange ideas, discuss research challenges and report latest research efforts, which are related but not limited to the following topics:

- Performance modeling of container based systems
- Monitoring of container based systems
- Characterization of containerized workload
- Orchestration models, mechanisms and policies for large-scale deployments
- Resource management at run time
- Autonomic management of large-scale container-based systems
- Management of container in cloud networking (e.g., NFV)
- Use cases and challenges for the management / orchestration of large-scale container-based systems – Cloud, HPC, Big Data, IoT applications and Internet / Network Services

Submission and Publication

We call for original and unpublished papers describing research results, experience, visions or new Initiative. Full papers should not exceed 8 pages and Position papers should not exceed 4 pages. The paper should be in the standard double column IEEE format for conference proceedings and paper length includes figures, tables, references and appendices.

All manuscripts will be reviewed and judged on merits including originality, significance, interest, correctness, clarity, and relevance. Papers are strongly encouraged to report experiences, measurements, and user studies, and to provide an appropriate quantitative evaluation.

Presented papers will be included in the Proceedings of the IEEE Conference ICCAC.
Extended versions of the best papers submitted to ICCAC 2017 workshops will be selected for consideration in a special issue of the Springer Cluster Computing journal (

Papers should be submitted as PDF files via Easy Chair using the following link:

At least one author of each accepted paper is required to attend the workshop and present the paper.
Important Dates

Submission deadline: June 25, 2017 (New deadline -- firm)
Notification of acceptance: July 9, 2017
Camera-ready submission: July 21, 2017
Workshop date: September 18, 2017

Organization Committee

Workshop Co-Chairs
Emiliano Casalicchio, Blekinge Institute of Technology, Sweden
Nectarios Koziris, National Technical University of Athens, CSLAB, Greece

Panel chair
Kurt Tutschku, Blekinge Institute of Technology, Sweden

Publicity Co-chairs
Ioannis Konstantinou, National Technical University of Athens, CSLAB, Greece
Matteo Nardelli, University of Rome Tor Vergata, Italy

Technical Program Committee
David Bermbach, ISE, TU Berlin, DE
Valeria Cardellini, University of Rome Tor Vergata, IT
Salvatore Distefano, University of Messina, IT / Kazan Federal University, RU
Salvatore Filippone, the Centre for Computational Engineering Sciences, Cranfield University, UK
Roberto Gioiosa, Pacific Northwest National Laboratory, USA
Håkan Grahn, Blekinge Institute of Technology, SE
Parisa Heidari, Western University, ON, Canada
Elisa Heymann Pignolo, University of Wisconsin-Madison, United States
Stefano Iannucci, Mississippi State University, USA
Dharmesh Kakadia, Microsoft Research, IN
Vana Kalogeraki, Athens University of Economics and Business, GR
Ioannis Konstantinou, National Technical University of Athens, GR
Dimosthenis Kyriazis, University of Piraeus, GR
Lars Lundberg, Blekinge Institute of Technology, SE
Wubin Li, Ericsson Research, Montreal, Canada
Matteo Nardelli, University of Rome Tor Vergata, IT
George Pallis, the University of Cyprus CY
Peter Pietzuch, Imperial College London, UK
Antonio Puliafito, University of Mess ina, IT
Stefano Salsano, University of Rome Tor Vergata, IT
Vlado Stankoviski, University of Lubjana, SI
Luiz Angelo Steffenel, Université de Reims Champagne-Ardenne, FR
Ming Zhao, Arizona State University, United States

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