International Peer-Reviewed JournalOpen AccessISSN 2456-8880
irejournals@gmail.com+91-7433024337

Home / Current Issue / Paper 1707652

1707652PublishedVol 7 · Issue 6

Energy-Efficient Network Architectures for High-performance Cloud Computing

ONI Samuel Boluwatife

Subject area: Science,Engineering and Technology  ·  Area of research: Cloud Computing

Abstract

Cloud computing growth creates higher energy needs that create major environmental and financial problems for businesses. Network design for cloud systems helps reduce power usage while promoting top-level performance when these systems expand. This research analyzes the latest SDN NFV and AI techniques to create energy-efficient network infrastructure for cloud computing systems. We study important methods for automatic resource management as well as routing choices that save energy plus green data center planning. The research shares details about effective network energy use steps and demonstrates this practice with actual business examples. It also explains how balancing energy savings and network capabilities impacts security levels. The essay shows ways to advance sustainable cloud infrastructure design through its review of energy-saving networking issues and modern development paths. The study helps researchers find better ways to lower cloud service impacts on the environment while maintaining network stability and speed.

Keywords

Energy-efficient cloud computing, Green networking architectures, Software-Defined Networking (SDN), AI-driven network optimization, Network Function Virtualization (NFV).

How to cite this paper

ONI Samuel Boluwatife "Energy-Efficient Network Architectures for High-performance Cloud Computing" Iconic Research And Engineering Journals Volume 7 Issue 6 2023 Page 474-483
ONI Samuel Boluwatife "Energy-Efficient Network Architectures for High-performance Cloud Computing" Iconic Research And Engineering Journals, vol. 7, no. 6, Dec. 2023
ONI Samuel Boluwatife (2023). Energy-Efficient Network Architectures for High-performance Cloud Computing. Iconic Research And Engineering Journals, 7(6).
ONI Samuel Boluwatife "Energy-Efficient Network Architectures for High-performance Cloud Computing" Iconic Research And Engineering Journals, vol. 7, no. 6, Dec. 2023.
@article{1707652,
      author = {ONI Samuel Boluwatife},
      title = {Energy-Efficient Network Architectures for High-performance Cloud Computing},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {7},
      number = {6},
      pages = {474-483},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1707652.pdf},
      abstract = {Cloud computing growth creates higher energy needs that create major environmental and financial problems for businesses. Network design for cloud systems helps reduce power usage while promoting top-level performance when these systems expand. This research analyzes the latest SDN NFV and AI techniques to create energy-efficient network infrastructure for cloud computing systems. We study important methods for automatic resource management as well as routing choices that save energy plus green data center planning. The research shares details about effective network energy use steps and demonstrates this practice with actual business examples. It also explains how balancing energy savings and network capabilities impacts security levels. The essay shows ways to advance sustainable cloud infrastructure design through its review of energy-saving networking issues and modern development paths. The study helps researchers find better ways to lower cloud service impacts on the environment while maintaining network stability and speed.},
      keywords = {Energy-efficient cloud computing, Green networking architectures, Software-Defined Networking (SDN), AI-driven network optimization, Network Function Virtualization (NFV).},
      month = {December},
  }