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Cloud Computing and Energy Efficiency: In Search of Sustainability

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "C: Energy Economics and Policy".

Deadline for manuscript submissions: closed (29 March 2022) | Viewed by 7155

Special Issue Editors


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Guest Editor
Department of Business Excellence, Faculty of Economic Sciences and Management, Nicolaus Copernicus University, Toruń, Poland
Interests: sustainable and responsible innovations; case study analysis; bibliometrics

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Guest Editor
Research and Academic Computer Network – National Research Institute, Warsaw, Poland
Interests: cloud computing; network and information security; IoT security; distributed computation

Special Issue Information

Dear Colleagues,

A decade ago, Berl and colleagues highlighted that “energy efficiency is increasingly important for future information and communication technologies (ICT), because the increased usage of ICT, together with increasing energy costs and the need to reduce green house gas emissions call for energy-efficient technologies that decrease the overall energy consumption of computation, storage and communications” [1]. As we realized in our 2020 study, “dynamic growth of use of cloud computing systems results in increasing energy consumption. Consequently, more and more attention is given to energy efficiency issues both in research and theory development as well as business practice of cloud computing systems” [2]. Thus, with the goal of contributing to an exchange of ideas, we invite researchers to submit for publication papers discussing energy efficiency issues in cloud computing systems. It is our intent to combine expertise from fields related to cloud computing, energy, and sustainable management. The scope of this Special Issue will thus cover a variety of topics, including but not limited to:

  • Energy-efficient hardware;
  • Energy-aware scheduling;
  • Energy-aware data centers;
  • Green cloud computing;
  • Cloud computing energy efficiency in the context of the Internet of Things (IoT) development;
  • Network security and energy efficiency;
  • Energy-efficient IoT security
  • Economic, environmental, and social effects of energy efficiency in cloud computing systems.

Various types of articles are invited for publication, including original research (empirical) articles, case studies, review articles, and conceptual articles.

[1] Berl A, Gelenbe E, Di Girolamo M, Giuliani G, De Meer H, Dang MQ, et al. Energy-efficient cloud computing. Comput J 2010;53:1045–51. https://0-doi-org.brum.beds.ac.uk/10.1093/comjnl/bxp080.

[2] Lis A, Sudolska A, Pietryka I, Kozakiewicz A. Cloud Computing and Energy Efficiency: Mapping the Thematic Structure of Research. Energies 2020;13:4117. https://0-doi-org.brum.beds.ac.uk/10.3390/en13164117.

Dr. Andrzej Lis
Dr. Adam Kozakiewicz
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Energy efficiency
  • Energy-aware scheduling
  • Energy-aware data centers
  • Green cloud computing
  • Internet of Things (IoT)

Published Papers (2 papers)

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Research

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19 pages, 2406 KiB  
Article
The Use of Blockchain Technology in Public Sector Entities Management: An Example of Security and Energy Efficiency in Cloud Computing Data Processing
by Robert Karaszewski, Paweł Modrzyński and Joanna Modrzyńska
Energies 2021, 14(7), 1873; https://0-doi-org.brum.beds.ac.uk/10.3390/en14071873 - 29 Mar 2021
Cited by 14 | Viewed by 4555
Abstract
Blockchain technology is currently one of the trends considered to have a tremendous future ahead. It ensures data security, data sharing protection and automation development—elements that are of colossal importance in the era of cloud solutions, big data and Internet of Things (IoT) [...] Read more.
Blockchain technology is currently one of the trends considered to have a tremendous future ahead. It ensures data security, data sharing protection and automation development—elements that are of colossal importance in the era of cloud solutions, big data and Internet of Things (IoT) reality. Additionally, blockchain technology allows one to create new programmable ecosystems on an unprecedented scale. The implementation of blockchain technology leads not only to improving the flow of documents and data storage, as is the case with the creation of shared service centers (SSCs), but—as this paper shows—allows one to reduce the carbon footprint when servicing SSCs at a considerably higher organizational level at the same time. The example of an SSC in Elbląg, Poland, proves that cloud solutions enabling electronic documents flow and data storage combined with blockchain technology are tools essential for further SSCs development. Furthermore, such tools allow us not only to obtain economic effects (i.e., cost reduction), but also to achieve positive ecological effects (i.e., carbon footprint reduction). Full article
(This article belongs to the Special Issue Cloud Computing and Energy Efficiency: In Search of Sustainability)
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Review

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17 pages, 1707 KiB  
Review
Energy Efficiency in Cloud Computing: Exploring the Intellectual Structure of the Research Field and Its Research Fronts with Direct Citation Analysis
by Adam Kozakiewicz and Andrzej Lis
Energies 2021, 14(21), 7036; https://0-doi-org.brum.beds.ac.uk/10.3390/en14217036 - 27 Oct 2021
Cited by 2 | Viewed by 1748
Abstract
The aim of the study is to explore the intellectual structure of the field and fronts in research on energy efficiency in the context of cloud computing and thus to contribute to science mapping of the research field. The research process was driven [...] Read more.
The aim of the study is to explore the intellectual structure of the field and fronts in research on energy efficiency in the context of cloud computing and thus to contribute to science mapping of the research field. The research process was driven by the following study questions: (1) what are the most influential publications in the research field? and (2) what are the research fronts in the research field? The method of direct citation analysis was employed in the research process. Data for analysis were obtained from the Scopus database and analyzed with the use of VOSviewer science mapping software. In response to the first question, we identified the most influential publications in the research field and analyzed their types (i.e., whether they are original research papers or rather the “context” papers e.g., survey or review papers, framework papers, challenges papers, and study papers). Moreover, a comparison analysis between the types of papers among the most cited “classical” publications and “emerging stars” was conducted. In response to the second research question, we identified five research fronts concentrated around the issues of: virtual machine management (“VM”); task-focus, concerning data replication, task consolidation, and task scheduling (“task”); energy efficiency (“energy”); modelling and optimization (“model”); and energy efficiency in the networking context (“network”). Full article
(This article belongs to the Special Issue Cloud Computing and Energy Efficiency: In Search of Sustainability)
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