Special Issues: Recent Advancements in Cognitive Green Computing for Smart Cities

Guest Editors

Prof. Jerry Chun-Wei Lin
Western Norway University of Applied Sciences, Bergen, Norway
Email: jerrylin@ieee.org

Dr. Sourav Banerjee
Kalyani Government Engineering College, Kalyani, India
Email: mr.sourav.banerjee@ieee.org

Prof. Danda B Rawat
Department of Electrical Engineering & Computer Science, Howard University, Washington, USA
Email: db.rawat@ieee.org

Prof. Yu-Dong Zhang
University of Leicester, UK
Email: yudongzhang@ieee.org

Manuscript Topics

Cognitive green computing is an upcoming area of research. Cognitive computing represents highly resource-intensive, requiring powerful servers, deep technical skillsets, and often leading to a high degree of technical debt. This has been completely overturned by the cloud. In order to develop cognitive models, test solutions, and integrate with existing systems without needing physical infrastructure, Cloud technologies can play a good role. Green Clouds are attracting attentions of industries and academia due to its adaptive, eco-friendly, scalable and robust nature for providing “computing-as-a-service”. While there are still resource costs involved, enterprises can flexibly subscribe to Cloud resources for cognitive development and downscale as and when necessary. Green computing refers to the adaptation of policies for ensuring the organizational setup and operations of Information Technology produces the minimal carbon footprint and energy optimization. Cognitive green computing amalgams the properties of cognitive computing and green computing to deal with such challenging issues like, energy optimization, carbon emission, resource utilization intelligently. It is the study and practice of designing, manufacturing, using and disposing of computers, servers and associated subsystems with minimal environmental damage. These solutions should provide efficient mechanisms for transactions verification and data replication, maximizing the efficiency of use of computing resources. Cognitive green computing is going to be one the most important gateway for the worldwide research in global warming issue. It may help development of environmental sustainability.

In light of the above-said research opportunities, the special issue is going to cater the information needs of professionals and researchers in industry and government as well as academics, researchers and students. This issue will also appeal to those concerned about performance enhancement of smart environments such as smart cities, smart grids, smart globe, and industrial automation. This special issue aims to enhance technological innovation for the development of various modern applications using cognitive computing, green computing, Cloud computing, Blockchain technology, IoT, and deep learning.

Its relevance/importance and need in the present context:
The Cognitive Green computing improves the system performance, economic strength and abides human ethical responsibilities intelligently. This is going to put footstep in the most important challenge for the worldwide research in global warming issue. It may help the improvement of environmental sustainability. There are four different methods are used for improving the efficiency of green computing such as green-use, green-disposal, green-design and green disposal for improving the economic viability and usage of computing devices. Green-use increase energy saving in devices used with eco-friendly manner, green-disposal improves the recycling and reusing of resources and disposing of unwanted devices, green-design designing energy-efficient computing, and related digital devices, and green-manufacturing diminishes the wastages while production of computer and related subsystems to decrease the environmental impacts. To establish an eco-friendly IoT ecosystem, Blockchain technologies create a secure, low-power network that can remotely manage physical operations without the need for centralized cloud servers. As the network has grown, the traditional computing approach has a (more) direct impact on global energy systems for the smart cities. Digital currency is but one of the good examples of the cognitive green ecosystem.

Topics of interest include, but are not limited to
• Cognitive green computing architecture
• Cognitive green Cloud applications and Issues
• Impact of green technologies on global warming using cognitive computing
• Deployment of Blockchain enabled cognitive green cloud and datacentres
• Deep (Machine) Learning techniques for green cognitive computing
• Integration of IoT and cognitive green computing
• Cognitive green cloud computing for smart cities
• Emergence of Blockchain technology in green cloud computing
• Recycling of industrial waste in energy consumption
• Application of Deep learning in energy optimization in cognitive Green computing
• Smart IoT and Cognitive Green Computing
• Blockchain enabled Green Cloud application for global warming
• Impact of cognitive green cloud computing in society
• Security issues in cognitive green computing
• Cognitive green computing with Edge intelligence
• Interpretable Machine Learning for Green Computing
• Cognitive Green Computing for 5G environment

Instructions for authors
Please submit your manuscript to online submission system

Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 31 May 2021

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