Energy efficiency in cloud computing data centers: a survey on software technologies

Cloud computing is a commercial and economic paradigm that has gained traction since 2006 and is presently the most significant technology in IT sector. From the notion of cloud computing to its energy efficiency, cloud has been the subject of much discussion. The energy consumption of data centres...

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Bibliographic Details
Published inCluster computing Vol. 26; no. 3; pp. 1845 - 1875
Main Authors Katal, Avita, Dahiya, Susheela, Choudhury, Tanupriya
Format Journal Article
LanguageEnglish
Published New York Springer US 01.06.2023
Springer Nature B.V
Subjects
Cloud computing
Computer centers
Computer Communication Networks
Computer Science
Cooling
Cost control
Data centers
Energy consumption
Energy efficiency
Green buildings
Greenhouse gases
Internet
New technology
Operating Systems
Power consumption
Power management
Problem solving
Processor Architectures
Software
Utility computing
Web 2.0
Workloads
United States > US
Data center
Cloud Computing
Containerization
Load balancing
Workload categorization
Online AccessGet full text

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Abstract Cloud computing is a commercial and economic paradigm that has gained traction since 2006 and is presently the most significant technology in IT sector. From the notion of cloud computing to its energy efficiency, cloud has been the subject of much discussion. The energy consumption of data centres alone will rise from 200 TWh in 2016 to 2967 TWh in 2030. The data centres require a lot of power to provide services, which increases CO2 emissions. In this survey paper, software-based technologies that can be used for building green data centers and include power management at individual software level has been discussed. The paper discusses the energy efficiency in containers and problem-solving approaches used for reducing power consumption in data centers. Further, the paper also gives details about the impact of data centers on environment that includes the e-waste and the various standards opted by different countries for giving rating to the data centers. This article goes beyond just demonstrating new green cloud computing possibilities. Instead, it focuses the attention and resources of academia and society on a critical issue: long-term technological advancement. The article covers the new technologies that can be applied at the individual software level that includes techniques applied at virtualization level, operating system level and application level. It clearly defines different measures at each level to reduce the energy consumption that clearly adds value to the current environmental problem of pollution reduction. This article also addresses the difficulties, concerns, and needs that cloud data centres and cloud organisations must grasp, as well as some of the factors and case studies that influence green cloud usage.
AbstractList Cloud computing is a commercial and economic paradigm that has gained traction since 2006 and is presently the most significant technology in IT sector. From the notion of cloud computing to its energy efficiency, cloud has been the subject of much discussion. The energy consumption of data centres alone will rise from 200 TWh in 2016 to 2967 TWh in 2030. The data centres require a lot of power to provide services, which increases CO2 emissions. In this survey paper, software-based technologies that can be used for building green data centers and include power management at individual software level has been discussed. The paper discusses the energy efficiency in containers and problem-solving approaches used for reducing power consumption in data centers. Further, the paper also gives details about the impact of data centers on environment that includes the e-waste and the various standards opted by different countries for giving rating to the data centers. This article goes beyond just demonstrating new green cloud computing possibilities. Instead, it focuses the attention and resources of academia and society on a critical issue: long-term technological advancement. The article covers the new technologies that can be applied at the individual software level that includes techniques applied at virtualization level, operating system level and application level. It clearly defines different measures at each level to reduce the energy consumption that clearly adds value to the current environmental problem of pollution reduction. This article also addresses the difficulties, concerns, and needs that cloud data centres and cloud organisations must grasp, as well as some of the factors and case studies that influence green cloud usage.
Cloud computing is a commercial and economic paradigm that has gained traction since 2006 and is presently the most significant technology in IT sector. From the notion of cloud computing to its energy efficiency, cloud has been the subject of much discussion. The energy consumption of data centres alone will rise from 200 TWh in 2016 to 2967 TWh in 2030. The data centres require a lot of power to provide services, which increases CO2 emissions. In this survey paper, software-based technologies that can be used for building green data centers and include power management at individual software level has been discussed. The paper discusses the energy efficiency in containers and problem-solving approaches used for reducing power consumption in data centers. Further, the paper also gives details about the impact of data centers on environment that includes the e-waste and the various standards opted by different countries for giving rating to the data centers. This article goes beyond just demonstrating new green cloud computing possibilities. Instead, it focuses the attention and resources of academia and society on a critical issue: long-term technological advancement. The article covers the new technologies that can be applied at the individual software level that includes techniques applied at virtualization level, operating system level and application level. It clearly defines different measures at each level to reduce the energy consumption that clearly adds value to the current environmental problem of pollution reduction. This article also addresses the difficulties, concerns, and needs that cloud data centres and cloud organisations must grasp, as well as some of the factors and case studies that influence green cloud usage.Cloud computing is a commercial and economic paradigm that has gained traction since 2006 and is presently the most significant technology in IT sector. From the notion of cloud computing to its energy efficiency, cloud has been the subject of much discussion. The energy consumption of data centres alone will rise from 200 TWh in 2016 to 2967 TWh in 2030. The data centres require a lot of power to provide services, which increases CO2 emissions. In this survey paper, software-based technologies that can be used for building green data centers and include power management at individual software level has been discussed. The paper discusses the energy efficiency in containers and problem-solving approaches used for reducing power consumption in data centers. Further, the paper also gives details about the impact of data centers on environment that includes the e-waste and the various standards opted by different countries for giving rating to the data centers. This article goes beyond just demonstrating new green cloud computing possibilities. Instead, it focuses the attention and resources of academia and society on a critical issue: long-term technological advancement. The article covers the new technologies that can be applied at the individual software level that includes techniques applied at virtualization level, operating system level and application level. It clearly defines different measures at each level to reduce the energy consumption that clearly adds value to the current environmental problem of pollution reduction. This article also addresses the difficulties, concerns, and needs that cloud data centres and cloud organisations must grasp, as well as some of the factors and case studies that influence green cloud usage.
Author Dahiya, Susheela
Choudhury, Tanupriya
Katal, Avita
Author_xml – sequence: 1
  givenname: Avita
  orcidid: 0000-0003-4072-5535
  surname: Katal
  fullname: Katal, Avita
  email: avita207@gmail.com
  organization: Research Scholar, School of Computer Science, University of Petroleum and Energy Studies, School of Computer Science, University of Petroleum and Energy Studies
– sequence: 2
  givenname: Susheela
  surname: Dahiya
  fullname: Dahiya, Susheela
  organization: School of Computer Science, University of Petroleum and Energy Studies
– sequence: 3
  givenname: Tanupriya
  surname: Choudhury
  fullname: Choudhury, Tanupriya
  email: tanupriya1986@gmail.com
  organization: School of Computer Science, University of Petroleum and Energy Studies
BackLink https://www.ncbi.nlm.nih.gov/pubmed/36060618$$D View this record in MEDLINE/PubMed
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IsDoiOpenAccess true
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Issue 3
Keywords Data center
Cloud Computing
Containerization
Load balancing
Workload categorization
Language English
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Snippet Cloud computing is a commercial and economic paradigm that has gained traction since 2006 and is presently the most significant technology in IT sector. From...
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SubjectTerms Cloud computing
Computer centers
Computer Communication Networks
Computer Science
Cooling
Cost control
Data centers
Energy consumption
Energy efficiency
Green buildings
Greenhouse gases
Internet
New technology
Operating Systems
Power consumption
Power management
Problem solving
Processor Architectures
Software
Utility computing
Web 2.0
Workloads
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Title Energy efficiency in cloud computing data centers: a survey on software technologies
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Volume 26
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