[sdn-it] CFP: 1st International Workshop on Network Energy Efficiency in the Softwarization Era (GreenNet 2022)

[Stefano Salsano < >]

1st International Workshop on Network Energy Efficiency in the 
Softwarization Era (GreenNet 2022)

 Workshop co-located with the

IEEE International Conference on Network Softwarization (NetSoft 2022)

Milan, Italy, 27 Juneā€“1 July 2022

 Call for Papers

 The convergence of fixed and mobile networks toward softwarized 
programmable networking platforms based on functionalities implemented 
for the most part by Virtual Entities (VEs) running on a general-purpose 
hardware infrastructure is posing new challenges to the designer of 
control strategies that aim at optimizing the trade-off between 
performance and power consumption. In such environment, attributing the 
power consumed by the hardware to specific VEs becomes much more 
difficult than in networking architectures where the same 
functionalities are performed by dedicated equipment (e.g., routers or 
L2 switches). The strong integration between the mobile and fixed 
network segment, already present in 5G and further strengthened in 6G is 
going to increase the volume of traffic and applicationsā€™ heterogeneity, 
along with the number of users, making network energy efficiency a 
full-fledged Key Performance Indicator (KPI) to be coped with.

The aim of the Workshop is to explore some of the issues that this 
evolution poses on finding suitable traffic and power models, as well as 
management and control strategies, along with Application Programming 
Interfaces (APIs) to be used for the lifecycle management and 
optimization of Virtual Network Functions (VNFs) and the creation and 
dynamic reconfiguration of network slices, to match as closely as 
possible the desired balance between sustainability in terms of energy 
efficiency and                                       performance.

We solicit original papers on the following (and related) topics
Analytical models of network power consumption
Traffic modelling for performance and power representation
Management and control mechanisms for the dynamic optimization of the 
trade-off between power and performance
AI/ML techniques for power and performance management in virtualized 
environments
AI/ML in network softwarization for slicing energy efficiency, fog/cloud 
MEC virtualization, self-x technologies, adaptation, automation, and 
zero-touch
APIs for power management interfaces
Architectural solutions toward network sustainability
Power-aware network slicing
Wired and wireless energy efficiency
Energy-saving internet protocols
Energy efficiency in the fog/MEC/cloud continuum
Energy efficient internetworking of mobile backhaul/core and remote data 
centers
Energy efficient 3D networks
Authors are invited to submit original contributions (written in 
English) in PDF format. Only original papers not published or submitted 
for publication elsewhere will be considered for the workshop.

Only PDF files will be accepted for the review process and all 
manuscripts must be electronically submitted through EDAS: 
https://www.edas.info/newPaper.php?c=29269 
<https://www.edas.info/newPaper.php?c=29269>
Important Dates

ā    Paper Submission: February 28, 2022

ā    Notification of Acceptance: April 11, 2022

ā    Camera ready: April 25, 2022

ā    Workshop date: June 27, 2022 or July 1, 2022

Workshop Organizers and Co-Chairs:
Raffaele Bolla, University of Genoa, Italy (
  
<mailto:
 >);

Hesham ElBakoury, Futurewei Technologies (
  
<mailto:
 >), USA;
Franco Davoli, University of Genoa, Italy (
  
<mailto:
 >);
Jaafar Elmirghani, University of Leeds, UK (
  
<mailto:
 >).

Workshop Technical Program Committee

Hamed Ahmadi, University of York, UK
Tobias Hossfeld, University of WĆ¼rzburg, Germany
Chiara Lombardo, CNIT, Italy
Gianmarco Baldini, JRC, Italy
Daniel Kilper, Trinity College Dublin, Ireland
Adnan Al-Anbuky, Auckland University of Technology, New Zealand

Taisir Elgorashi, University of Leeds, UK
Thomas Zinner, NTNU, Norway
Ewa Niewiadomska-Szynkiewicz, Warsaw University of Technology, Poland
Riccardo Trivisonno, Huawei, Germany
Alessandro Carrega, University of Genoa / CNIT, Italy
Roberto Bruschi, University of Genoa, Italy

Lijun Dong, Futurewei, USA
Kerry Hinton, University of Melbourne, Australia

Nirwan Ansari, New Jersey Institute of Technology, USA

Jane Frances Pajo, Telenor Research, Norway

Odnan Ref Sanchez, SINTEF, Norway

Sheng Jiang, Huawei, China