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The Computing Resource Allocation Pursuing Maximum Revenue (CRA-PMR) algorithm is a novel approach to optimizing resource allocation in cloud computing environments. It intelligently identifies overlapping computing demands, enabling resource reuse and enhancing service reliability through dynamic load thresholding. By integrating energy consumption costs into revenue calculations, CRA-PMR aligns with sustainability goals, aiming for carbon neutrality. The algorithm’s performance is evaluated through simulations, demonstrating its effectiveness in maximizing revenue while maintaining service quality. This research contributes to the field by offering a comprehensive solution that considers resource efficiency, cost management, and environmental impact.

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Computing Resource Allocation Pursuing Maximum Revenue for Computing Network

  • 会议论文

  • 发表日期：

    2025年

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  • Shoufeng Wang,
  • Huamin Chen,
  • Ye Ouyang,
  • Fan Li,
  • Xuan Chen,
  • Jianchao Guo,
  • Zhidong Ren,
  • Rongxing He

摘要

The Computing Resource Allocation Pursuing Maximum Revenue (CRA-PMR) algorithm is a novel approach to optimizing resource allocation in cloud computing environments. It intelligently identifies overlapping computing demands, enabling resource reuse and enhancing service reliability through dynamic load thresholding. By integrating energy consumption costs into revenue calculations, CRA-PMR aligns with sustainability goals, aiming for carbon neutrality. The algorithm’s performance is evaluated through simulations, demonstrating its effectiveness in maximizing revenue while maintaining service quality. This research contributes to the field by offering a comprehensive solution that considers resource efficiency, cost management, and environmental impact.