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CloudAM 2022 : 11th International Workshop on Cloud and Edge Computing, and Applications Management Managing challenges from the Cloud to the Edge


When Dec 6, 2022 - Dec 9, 2021
Where Portland, Oregon, USA
Submission Deadline Sep 15, 2022
Notification Due Oct 5, 2022
Final Version Due Oct 15, 2022
Categories    cloud computing   edge computing

Call For Papers

11th International Workshop on Cloud and Edge Computing, and Applications Management (CloudAM 2022)
In conjunction with the 15th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2022)
December 6-9, 2022
Portland, Oregon, USA

### Background ###
Cloud computing, virtualization and virtual (eScience) applications have been generating substantial interest in the community, and it is anticipated that this interest will keep expanding with the emergence of edge computing infrastructures, such as Fog Computing and Mobile Cloud Computing. Cloud and edge infrastructures can work together to fulfill requirements from a variety of applications, composing the so-called Cloud Continuum to the edge. Clouds must provide appropriate levels of performance to large groups of diverse users, and those clouds are accessed through virtualized wide area networks, where edge/fog devices can act as a first layer of computing capacity closer to the user. Management systems are essential for that and thereby for the future success of the fog-cloud hierarchy. New systems, methods, and approaches for cloud and edge computing, virtualization and (eScience) applications management are to be discussed at this workshop.

Overall topics of interest include but are not limited to:

- Cloud and fog computing environments
- Cloud and fog service orchestration
- Cloud and fog APIs
- Cloud and fog data management
- Cloud and fog scalable monitoring
- Cloud and fog load balancing
- Multi-cloud/Inter-clouds
- Customer cloud management
- Managing data centers
- Management as a service
- Management of virtual slices
- *aaS Management
- Cloud and fog scheduling
- Hybrid clouds
- Fog and Edge computing
- Cloud surveys and taxonomies
- Social clouds
- Business models for cloud and fog computing
- Managing cloud services
- Management of virtualized hardware resources
- Network-specific mechanisms for optimized cloud access
- Performance modeling & evaluation
- QoS/QoE management in the cloud
- Security and privacy in the cloud-edge hierarchy
- Management tools for infrastructure virtualization
- Automated resource slicing
- Policy-driven service/resource life-cycle management
- Applications and services enabled by virtualized infrastructure
- Optimization of data center and workload energy consumption
- Green cloud computing
- Scientific workflows on clouds
- Mobile clouds and mobile edge computing
- Big data / complex event processing in the cloud-edge hierarchy
- Autonomic cloud computing
- Cloud Continuum – IoT/Smart Cities integration

Important Dates
Paper submission due: September 15, 2022 (extended, hard deadline)
Notification of acceptance: October 05, 2022
Final camera-ready papers due: October 15, 2022
Workshop dates: December 6-9, 2022

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The CloudAM workshop invites authors to submit original and unpublished work. Papers should not exceed 6 pages single-spaced double-column, using IEEE format. Additional pages might be purchased upon the approval of the proceedings chair.

Submission link:

Submission requires the willingness of at least one of the authors to register for an early full and non-student fee and present the paper. All selected papers for this workshop are peer-reviewed and proceedings will be published by IEEE and made available online via the ACM Digital Library and IEEE Digital Library.

Nazim Agoulmine University of Evry Val d'Essone, France
Jorge Álvarez, Cardiff University, UK
Jose Angel Bañares, University of Zaragoza, Spain
Michael Bauer, University of Western Ontario, Canada
Andrey Brito, UFCG, Brazil
Antonio Brogi, University of Pisa, Italy
Agustin Caminero, UNED, Spain
Rafael Ferreira Da Silva, USC, USA
Mariza Ferro, National Laboratory for Scientific Computing, Brazil
Felix Freitag, Universitat Politècnica de Catalunya, Spain
Claudio Geyer, UFRGS, Brazil
Gabriel Gonzalez-Castane, Cork University, Ireland
Hélio Guardia, Federal University of Sao Carlos, Brazil
Wilson Higashino, University of Western Ontario
Gabor Kecskemeti, Liverpool John Moores University, UK
Laurent Lefevre INRIA, France
Craig Lee, Federation Partners, USA
Marco Netto, IBM, Brazil
Hoang Nguyen, University of Queensland, Australia
Ioan Petri, Cardiff University, UK
Gleb Radchenko, South Ural State Univ., Russ
Omer Rana, Cardiff University, UK
Ivan Rodero, Rutgers University, USA
Murphy Seán, Zurich University of Applied Science (ZHAW), Switzerland
Stefan Schulte, TU Wien, Austria
Vladimir Vlassov, KTH, Sweden

Abdellah Chehri – University of Quebec, CA
Luiz Bittencourt – UNICAMP, BR

Bruno Schulze – LNCC, BR
Rafael Tolosana-Calasanz – UNIZAR, ES

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