CFP: Special Issue on "Green Edge/Fog/Cloud Computing: Advancements, Trends, and Practices"

Guest Editors :

  • Dr. Keping Yu (Lead Guest Editor), Waseda University, Tokyo, Japan, E-mail: keping.yu@ieee.org
  • Dr. Wei Wang, Sun Yat-sen University, Shenzhen, China
  • Dr. Muhammad Tariq, Princeton University, USA 

Summary:

In recent years, various IT technologies, including IoT devices, smartphones application, and edge/fog/cloud-based services, have integrated into human lives flawlessly while facilitating daily routine tasks, such as healthcare monitoring, social communications, or environmental management. Additionally, IT technologies support businesses and industrial growth. These exponential growths of IT technologies in human lives, business, and industrial development lead to enhanced day-to-day demand and edge/fog/cloud computing usage in IT areas. Edge/Fog/Cloud computing has gained significant popularity from customers and industry for its capability to scale computation resources on-demand with a pay-per-use business model that makes this paradigm economical and flexible. The availability of edge/fog/cloud computing infrastructure makes the possibility of analyzing the incoming data with many data centers, servers, and computing resources spanned in larger geographical areas in an efficient and scalable way. With numerous benefits, edge/fog/cloud computing still faces various challenges. One of them is energy consumption as this technology consumes vast amounts of energy for cooling technologies, networking devices, computer monitors and beds of servers, etc. Recently, the concept of green edge/fog/cloud computing is making a significant impact against the research and industrial communities, which enables optimized use of cloud resources with improved energy consumption in a cloud environment without losing service quality.    
 

Green computing technology is a practice for designing, manufacturing, exploiting, installing, and configuring the server and its associated subsystems such as storage devices, monitors, printers, computational devices, network, and communication devices effectively and efficiently without affecting the environment. Besides its eco-friendly nature, green edge/fog/cloud computing also stems from economic needs, as the electrical requirement and energy cost in the IT industry is surging continuously. Moreover, green edge/fog/cloud computing uses various techniques, including green data center, virtualization, power optimization techniques, and grid computing, to reduce energy consumption and ecological waste. However, implementing and applying green technology is still challenging. It requires several other key technologies like energy-efficient resource scheduling algorithms, memory management systems, storage systems, energy-efficient communications, and application-based scheduling algorithms at the platform hypervisor level and virtualization level. With a growing demand for IT technology in business and industry, dynamic power management systems, efficient energy consumption monitoring systems, and smart power supply decision-making models will further research challenges in the green edge/fog/cloud computing era.  
 

This Special Issue aims to collect high-quality research articles from academic and industrial experts in the energy-efficient green edge/fog/cloud computing areas with practical and theoretical aspects and an in-depth understanding of key technologies, fundamental algorithms, analysis, and modeling techniques viewpoints. Following are the topic of interest included but not restricted:
 

Topics of Interest:
(Contributions are sought in (but are not limited to) the following topics)

  • Current research trends and challenges in green edge/fog/cloud computing 
  • Energy-efficient power management system with green computing technologies
  • Energy-efficient networking device, hardware and design methodology for green edge/fog/cloud computing 
  • Energy-efficient resource scheduling algorithm with green technology in the edge/fog/cloud environment 
  • Smart and intelligent decision-making model for efficient power management system in green edge/fog/cloud computing 
  • Research toward eco-friendly green cloud computing technology 
  • Effective and efficient off-loading strategies for green edge/fog/cloud computing 
  • Recent advances in energy consumption monitoring and management with green computing
  • Proactive virtualization methodology using green technological concepts in cloud environment
  • Green edge/fog/cloud computing advancement, design methodology, framework and implementation details
  • Green edge/fog/cloud distributed computing for IoT applications
  • Green cloud computing: An energy-efficient layer in hardware and software architecture
  • State of the art for energy-efficient resource allocation strategy for green edge and fog data-centers
  • Challenges and opportunities in green edge/fog/cloud computing for energy-saving techniques 
  • Energy-efficient technologies for artificial intelligence/ machine learning

Key Dates:

  • Submission deadline:  25.01.2022
  • First decision:  28.03.2022
  • Revision and resubmission deadline: 22.05.2022
  • Paper acceptance: 30.07.2022