[Maprg] Call for Papers: 11th IEEE International Conference on Cloud Networking

[Ramakrishnan Durairajan <[e-mail]>]

The 11th IEEE International Conference on Cloud Networking 
IEEE CloudNet 2022
Paris, France 

November 07 - 10, 2022. 
https://www.ieee-cloudnet.org <https://www.ieee-cloudnet.org/>

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

Cloud networking has emerged as a promising direction for cost‐efficient, reliable service and data delivery across wide-area backbones and data-center fabrics. The prominent penetration of virtualization technologies into computing and communication infrastructure has led to continuous innovation, with new network protocols, software platforms, and artificial intelligence-based techniques for their orchestration. CloudNet 2022 will bring together the world’s most distinguished researchers and industry experts in this field and will provide a great opportunity for you to present your research as well as exchange ideas with a highly motivated audience.

Invited Conference Speakers
===========================

Keynotes

* Tackling the Identity Problem, by Radia Perlman, Dell Technologies, USA.
* Issues in Cloud Computing, by Charlie Kaufman, Dell Technologies, USA.
* Building the Responsible Internet, by Paola Grosso, University of Amsterdam, Netherlands.

Additional keynotes will be announced soon.

Tutorials

* Tiny ML and Edge Computing, Akram Baharlouei, Meta AI (Facebook), USA
* Introduction to quantum computing and post-quantum algorithms, Radia Perlman, Dell Technologies, USA.

Additional tutorials will be announced soon.

Conference Topics
=================

The Conference topics include (but are not limited to):

Cloud Network Architecture
* Multi-Cloud federation and Hybrid Cloud Infrastructure
* Reliability of Data Center Network and Architecture
* Mobile Cloud Networking
* Slicing and RAN Virtualization (SD-RAN, Cloud RAN, vRAN, OpenRAN)
* Programmable Data Planes and Smart-NIC design
* SDN/NFV and Virtualization of Network Equipment
* Architectures to Enable AI/ML

Resource Management
* Data Center and Cloud-native Networks
* Intra-Cloud vs. Inter-Cloud Management
* Energy-Efficient Data Centers and Networks
* Resource optimization and Management
* Traffic Characterization and Measurements
* Data Flow Management and Load Balancing
* Storage Management
* AI/ML-assisted Resource Management and Orchestration

Cloud Supported Services
* Big Data Analytics 
* Vehicular Cloud Computing
* Network Connectivity Services
* Unified User and Machine Mobility Management
* Content and Service Distribution
* Edge Computing
* Location-based Services
* Performance Enhancement of Cloud Applications

Cloud Security and Privacy
* Cloud Data Provenance and Data Loss Protection
* Cloud Sovereignty
* Cloud Storage Security
* Cloud Application Security
* Intrusion Detection/Prevention systems
* Firewall and Deep Packet Inspection systems
* AI/ML for Cloud Security

Important Dates
===============

Abstract registration: June 13, 2022 (11:59 pm AoE) 
Paper submission: June 20, 2022 (11:59 pm AoE)
Acceptance notification: September 01, 2022
Camera-ready deadline: September 30, 2022
Conference: November 07 - 10, 2022

Submission Guidelines
=====================

Authors are invited to submit original contributions that have not been published or submitted for publication elsewhere. Submissions must be in IEEE single-spaced double-column style with a length limitation of 8 pages (including title, abstract, all figures, and tables) for full papers (oral presentation), excluding references. Accepted papers will be published in IEEE Xplore.

Paper submission URL: https://edas.info/29433 <https://edas.info/29433>

Organization Committee
=======================

General Chair:
Stefano Secci, Cnam, France

Technical Program Co-Chairs:
Ramakrishnan Durairajan, U. Oregon, USA
Leonardo Linguaglossa, Institut Polytechnique de Paris, France

Demos and Posters Co-Chairs:
Mathieu Bacou, Institut Polytechnique de Paris, France
Anubhavnidhi Abhashkumar, ByteDance, USA

Publication Chair:
Stéphane Rovedakis, Cnam, France

Publicity Co-Chairs:
Pedro Casas, AIT, Austria
Zhengxin Yu, Lancaster University, UK