Optimizing Supply Chain Efficiency Using Cross-Efficiency Analysis and Inverse DEA Models

Optimizing Supply Chain Efficiency Using Cross-Efficiency Analysis and Inverse DEA Models

Authors

  • Chen Ye School of Computer and Software, Jincheng College, Chengdu, 611731, Sichuan, China
  • Zhengde Bao School of Computer and Software, Jincheng College, Chengdu, 611731, Sichuan, China

DOI:

https://doi.org/10.53469/wjimt.2024.07(06).02

Keywords:

IT Support System, Cloud Computing, Key Technologies for Energy Conservation, Application

Abstract

This article introduces cloud computing technology, analyzes the application principles of energy-saving key technologies in cloud computing for IT support systems, and dissects the practical energy efficiency of these key technologies. By examining cloud-based business scenarios and analyzing the basis and algorithms for resource scheduling, intelligent power management contributes to reducing host power consumption during data center operation. The computational demands of business operations are positively correlated with energy consumption, and these demands can vary due to business requirements. Creating an energy-saving scheduling model and implementing it within the IT support cloud platform helps address energy-saving and emission reduction issues in cloud computing. Furthermore, the key energy-saving technologies in cloud computing enable flexible implementation of resource scheduling.

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Published

2024-11-05
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