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A Systematic Survey on Energy-Efficient Techniques in Sustainable Cloud Computing

Author

Listed:
  • Salil Bharany

    (CET Department, Guru Nanak Dev University, Amritsar 143005, India)

  • Sandeep Sharma

    (CET Department, Guru Nanak Dev University, Amritsar 143005, India)

  • Osamah Ibrahim Khalaf

    (Al-Nahrain Nano Renewable Energy Research Center, Al-Nahrain University, Baghdad 10072, Iraq)

  • Ghaida Muttashar Abdulsahib

    (Department of Computer Engineering, University of Technology, Baghdad 19006, Iraq)

  • Abeer S. Al Humaimeedy

    (Software Engineering Department, College of Computer and Information Sciences, King Saud University, P.O. Box 103786, Riyadh 11616, Saudi Arabia)

  • Theyazn H. H. Aldhyani

    (Applied College in Abqaiq, King Faisal University, P.O. Box 400, Al-Ahsa 31982, Saudi Arabia)

  • Mashael Maashi

    (Software Engineering Department, King Saud University, Riyadh 11543, Saudi Arabia)

  • Hasan Alkahtani

    (College of Computer Science and Information Technology, King Faisal University, P.O. Box 400, Al-Ahsa 31982, Saudi Arabia)

Abstract

Global warming is one of the most compelling environmental threats today, as the rise in energy consumption and CO 2 emission caused a dreadful impact on our environment. The data centers, computing devices, network equipment, etc., consume vast amounts of energy that the thermal power plants mainly generate. Primarily fossil fuels like coal and oils are used for energy generation in these power plants that induce various environmental problems such as global warming ozone layer depletion, which can even become the cause of premature deaths of living beings. The recent research trend has shifted towards optimizing energy consumption and green fields since the world recognized the importance of these concepts. This paper aims to conduct a complete systematic mapping analysis on the impact of high energy consumption in cloud data centers and its effect on the environment. To answer the research questions identified in this paper, one hundred nineteen primary studies published until February 2022 were considered and further categorized. Some new developments in green cloud computing and the taxonomy of various energy efficiency techniques used in data centers have also been discussed. It includes techniques like VM Virtualization and Consolidation, Power-aware, Bio-inspired methods, Thermal-management techniques, and an effort to evaluate the cloud data center’s role in reducing energy consumption and CO 2 footprints. Most of the researchers proposed software level techniques as with these techniques, massive infrastructures are not required as compared with hardware techniques, and it is less prone to failure and faults. Also, we disclose some dominant problems and provide suggestions for future enhancements in green computing.

Suggested Citation

  • Salil Bharany & Sandeep Sharma & Osamah Ibrahim Khalaf & Ghaida Muttashar Abdulsahib & Abeer S. Al Humaimeedy & Theyazn H. H. Aldhyani & Mashael Maashi & Hasan Alkahtani, 2022. "A Systematic Survey on Energy-Efficient Techniques in Sustainable Cloud Computing," Sustainability, MDPI, vol. 14(10), pages 1-89, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:6256-:d:820331
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    References listed on IDEAS

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    Cited by:

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    2. Mohammed I. Alghamdi, 2022. "Optimization of Load Balancing and Task Scheduling in Cloud Computing Environments Using Artificial Neural Networks-Based Binary Particle Swarm Optimization (BPSO)," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
    3. Sanjay Kumar & Rafeeq Ahmed & Salil Bharany & Mohammed Shuaib & Tauseef Ahmad & Elsayed Tag Eldin & Ateeq Ur Rehman & Muhammad Shafiq, 2022. "Exploitation of Machine Learning Algorithms for Detecting Financial Crimes Based on Customers’ Behavior," Sustainability, MDPI, vol. 14(21), pages 1-24, October.
    4. Edeh Michael Onyema & M. Anand Kumar & Sundaravadivazhagn Balasubaramanian & Salil Bharany & Ateeq Ur Rehman & Elsayed Tag Eldin & Muhammad Shafiq, 2022. "A Security Policy Protocol for Detection and Prevention of Internet Control Message Protocol Attacks in Software Defined Networks," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    5. Akashdeep Bhardwaj & Keshav Kaushik & Salil Bharany & Ateeq Ur Rehman & Yu-Chen Hu & Elsayed Tag Eldin & Nivin A. Ghamry, 2022. "IIoT: Traffic Data Flow Analysis and Modeling Experiment for Smart IoT Devices," Sustainability, MDPI, vol. 14(21), pages 1-18, November.
    6. Keshav Kaushik & Akashdeep Bhardwaj & Salil Bharany & Naif Alsharabi & Ateeq Ur Rehman & Elsayed Tag Eldin & Nivin A. Ghamry, 2022. "A Machine Learning-Based Framework for the Prediction of Cervical Cancer Risk in Women," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
    7. Shadab Alam & Mohammed Shuaib & Sadaf Ahmad & Dushantha Nalin K. Jayakody & Ammar Muthanna & Salil Bharany & Ibrahim A. Elgendy, 2022. "Blockchain-Based Solutions Supporting Reliable Healthcare for Fog Computing and Internet of Medical Things (IoMT) Integration," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    8. Manreet Sohal & Salil Bharany & Sandeep Sharma & Mashael S. Maashi & Mohammed Aljebreen, 2022. "A Hybrid Multi-Cloud Framework Using the IBBE Key Management System for Securing Data Storage," Sustainability, MDPI, vol. 14(20), pages 1-24, October.
    9. Akashdeep Bhardwaj & Keshav Kaushik & Mashael S. Maashi & Mohammed Aljebreen & Salil Bharany, 2022. "Alternate Data Stream Attack Framework to Perform Stealth Attacks on Active Directory Hosts," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    10. Na Huang & Xiang Li & Quanming Xu & Ronghao Chen & Huidong Chen & Aidong Chen, 2023. "Artificial Intelligence-Based Temperature Twinning and Pre-Control for Data Center Airflow Organization," Energies, MDPI, vol. 16(16), pages 1-15, August.
    11. Supreet Kaur & Sandeep Sharma & Ateeq Ur Rehman & Elsayed Tag Eldin & Nivin A. Ghamry & Muhammad Shafiq & Salil Bharany, 2022. "Predicting Infection Positivity, Risk Estimation, and Disease Prognosis in Dengue Infected Patients by ML Expert System," Sustainability, MDPI, vol. 14(20), pages 1-20, October.

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