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Cloud Computing Systems and Energy Efficient Utilization

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: closed (15 November 2020) | Viewed by 3594

Special Issue Editor


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Guest Editor
School of Computer Science, University College Dublin, Dublin, Ireland
Interests: parallel and distributed computing; heterogeneous computing; energy of computing

Special Issue Information

Dear Colleagues,

In the current digital era, computing is prevalent, and the level of penetration of computing in society, industry, economy, science, and engineering will only increase. Therefore, the energy involved in computing—which was not considered a big issue in the past—is becoming a grand technological challenge. The proportion of total energy consumption represented by ICT is rapidly increasing. By 2030, it is predicted to consume around 50% of all the generated electricity, according to some prognoses [1]. This situation is not sustainable, and extraordinary efforts are needed to increase energy efficiency in ICT.

Cloud computing systems have demonstrated exponential growth over the last decade and quickly become the dominant computing infrastructure. By the end of 2020, two-thirds of enterprise infrastructure will be cloud-based; additionally, 82% of the workload will reside in the cloud (https://techjury.net/stats-about/cloud-computing/). Therefore, any improvements in the energy efficiency of cloud systems will also improve the global energy efficiency of computing.

This Special Issue invites submissions addressing all aspects of energy efficiency in cloud computing systems at all levels. Manuscripts reporting accurate application-level power and energy predictive models, and energy measurement methods and tools are particularly welcome. Methods on the optimization of multiple objectives are also welcome but must include energy consumption as one of the primary objectives.

Assoc. Prof. Dr. Alexey Lastovetsky
Guest Editor

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 of computing
  • cloud computing
  • energy efficient computing
  • energy predictive models
  • measurement of energy of computing

Published Papers (1 paper)

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Review

21 pages, 3765 KiB  
Review
Cloud Computing and Energy Efficiency: Mapping the Thematic Structure of Research
by Andrzej Lis, Agata Sudolska, Ilona Pietryka and Adam Kozakiewicz
Energies 2020, 13(16), 4117; https://doi.org/10.3390/en13164117 - 9 Aug 2020
Cited by 15 | Viewed by 3221
Abstract
The dynamic growth in the 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 the business practice of cloud computing systems. In [...] Read more.
The dynamic growth in the 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 the business practice of cloud computing systems. In spite of the rapid development of research, the field has not been mapped from the bibliometric perspective yet. This study aims at publication profiling and mapping the thematic structure of the cloud computing energy efficiency research field. Detailed research objectives include: (1) profiling scientific publications in the field, (2) identifying and exploring thematic research areas, (3) identifying emerging topics and discussing their potential as future research lines. The aforementioned objectives are translated into the following study questions: (1) What are the most productive nations, institutions, source titles, and scholars contributing to research on energy efficiency in cloud computing? (2) What does the thematic structure of the research field look like? (3) What are the “hot” research topics attracting scholars’ attention? The research methodology toolbox includes a combination of bibliometric descriptive studies (research profiling), science mapping (keyword co-occurrence analysis), and literature reviews (systematic literature review). Bibliometric data for analysis were elicited from the Scopus database. The VOSviewer software supported bibliometric analysis and data visualization. Full article
(This article belongs to the Special Issue Cloud Computing Systems and Energy Efficient Utilization)
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