Special issue on Sustainable Energy Management using Green Computing

Guest Editors:

Dr. Fadi Al-Turjman, [Lead Guest Editor] Professor & Research Center Director, Faculty of Engineering, Near East University, Turkey. Email: fadi.alturjman@neu.edu.tr
Dr. Walaa Hamouda, Professor, Concordia University, Canada. Email: hamouda@ece.concordia.ca 
Dr. Shahid Mumtaz, Instituto de Telecomunicações Aveiro, Aveiro, Portugal. Email: smumtaz@av.it.pt 

Modern large-scale computer facilities like data centers and High-Performance Computing clusters are sternly inhibited by cooling and energy cost for solving extreme-scale challenges in sustainable energy management. This increasing energy use is progressively at risk due to different factors, such as price, sustainability, scalability, and environmental impacts. The rising energy demand in the data centre and high-performance computing are of extreme concern, and there is a necessity to shape an efficient and sustainable environment that reduces the undesirable environmental impact. In a high-performance computational system, Green computing solves a multi-level issue of simultaneous energy demand and control of energy supply from the servers to the entire data centre. Green computing represents an environmentally responsible way to reduce energy for a sustainable platform. It uses computing resources efficiently to maximize energy efficiency by reducing the demand during the product’s lifetime for sustainable energy management.

Further, it adapts work assignments to servers, which can satisfy the various energy constraints. Green computing is an important field of study which has been considered for sustainable energy management. The relocation of green live virtual machines and application restructuring and the distribution of energy resources for customer activities is especially helpful in the reduction of energy in computing data centers’. Heuristic Green computing algorithms focused on live VM migration strategies for minimization of energy resources on dynamic server scheduling of server based on a sequential search, random search, and maximal fairness of resource allocation.

Green computing consists of interconnected computer resources with the use of standard protocols for communication to address energy demands for a sustainable environment. The state of sustainable art technologies is working to combine Knowledge Engineering with the mathematical theory that can operate sustainably, manage, integrate, and reason with Green Computing for a sustainable energy environment. Therefore, futuristic research work needs appropriate approaches and strategies to minimize the demand for energy efficiency structurally for a renewable technology system in green computing infrastructure architecture.
Specific topics include, but not limited to, the following:

  • Sustainable energy consumption and strategic management policies using green computing techniques
  • Sustainable energy resource management schemes using green computing
  • Green computing assisted strategic sustainable energy management aware protocol
  • Green computing assistance insustainable energy efficiency approaches
  • Green computing-based advanced modeling and theory for sustainable energy management
  • Green computing for sustainable energy management protocols
  • Green computing assisted in smart networking protocols for energy-efficient frameworks
  • Green computing-based energy performance characterization computing systems for a sustainable environment
  • Green computing design trade-offs for high-performance energy systems
  • Evaluation and optimization of computing paradigms for a sustainable energy environment
  • Security and privacy challenges in sustainable energy environment using green computing
  • Sustainable energy management in a high-performance system using green computing

Submission Timeline:

Paper submisison deadline:   5th August 2021
Author notification:             13th October 2021
Revised paper submission:  15th January 2022
Final acceptance:                 30th May 2022

Submission Guidelines:

Any other high quality submission that fits the topics of this special issue is welcome. All invited papers will be subjected to the same rigorous review process as the regular submissions to this special issue. Submitted articles must not have been previously published or currently submitted for publication elsewhere. For work that has been published previously in a workshop or conference, it is required that submissions to the special issue have at least 30% new content.

All submitted manuscripts must be formatted according to the Computing's instructions for authors which are available at https://www.springer.com/607. We will only accept LaTeX manuscripts (which must use Springer templates at https://www/springer.com/607).

Manuscript length
Please note that the page limit for Special Issue submissions differs from that of regular Computing submissions. Manuscripts submitted to the Special Issue should not exceed 20 pages. Submission that do not comply with this requirement are likely to be desk rejected without being reviewed.

Submission instruction
Manuscripts should be submitted using the online submission system at (https://www.springer.com/607).

Authors should select ‘SI:  Sustainable Energy Management Using Green Computing’ during the submission step 'Additional Information'.