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Achieving Energy Efficiency and Sustainability in Edge/Fog Deployment

Feature Topic


It has been predicted that there will be more than 50 billion Internet-connected things (e.g., mobile devices, sensors, wearable devices and other computing nodes) by the year 2020 across the globe. This emerging trend is also known as the Internet of Things (IoT). In other words, IoT will generate nearly 40% of the global data. Another emerging computing trend is edge/fog computing. Edge/fog computing is considered to be an extension of cloud computing. With the significant increased focus on climate change, cloud data centers are also seeking ways to reduce carbon emissions and consequently, electricity costs. While there are existing energy efficiency initiatives in place (e.g. increasing the use of clean energy sources to power data centers), researchers are also examining sustainability. There are a number of challenges in ensuring sustainable energy efficiency for an edge-fog environment, such as the need to ensure that workload distribution, resource and data migrations, energy efficiency, quality of service, etc. are not affected by energy efficiency measures. One potential approach is to introduce a programmable, scalable, and flexible platform (i.e., software-defined network–SDN) to achieve energy-efficiency without affecting other key performance metrics.

Since energy of the communication devices is one of the most challenging and critical issues which needs to be exploited by designing new solutions.  We would like to investigate the major areas that include energy management, sustainability, fog devices’ deployment, communication architecture between fog devices and data centers, resource management, and data analytics.

This FT is to present state-of-the-art technical advances on addressing energy efficiency and sustainability in edge/fog environment. Topics of interest include, but are not limited to:

  • SDN-based edge/fog interactions and enabling protocols
  • Communication and networking protocols for edge/fog environment
  • SDN and network function virtualizations supporting edge/fog environment
  • Edge/fog based data services, including distributed data centers, data analytics, caching
  • Edge/fog caching for big data
  • Quality of experience and quality of service for edge/fog environment
  • Big data analytics for workload management in edge/fog environment
  • Security technical solutions for edge/fog environment
  • Privacy and privacy-preserving technical solutions for edge/fog environment
  • Energy-efficient architecture including wireless powered communications, high-density small cells, green heterogeneous network design and architecture in edge/fog environment
  • Use of clean energy /renewable energy for managing edge/fog infrastructure
  • Energy management of edge/fog infrastructure
  • Issues, challenges, and solution related to sustainability in edge/fog environment


Neeraj Kumar
Thapar University, Patiala (Punjab), India

Joel J. P. C. Rodrigues
National Institute of Telecommunications (Inatel), Brazil; Instituto de Telecomunicações, Portugal

Mohsen Guizani
University of Idaho, USA

Kim-Kwang Raymond Choo
University of Texas at San Antonio, USA

Rongxing Lu
University of New Brunswick, Canada

Christos Verikoukis
Telecommunications Technological Centre of Catalonia, Spain

Zhimeng Zhong
Huawei Technologies Co., Ltd, China