Enhancing System Efficiency through AI, Edge Computing, and Resource Optimization in Modern Infrastructure

This paper explores innovative strategies for enhancing system efficiency in modern infrastructure by integrating artificial intelligence (AI), edge computing, and resource optimization techniques. As the complexity of infrastructure systems increases, traditional methods often fall short in addressing the evolving demands of operational efficiency and reliability. By leveraging AI algorithms for predictive analytics and resource allocation, and utilizing edge computing for real-time data processing, organizations can significantly improve performance and responsiveness. The study examines case studies that highlight successful implementations of these technologies across various sectors, including infrastructure monitoring, and grid maintenance. Insights from this research provide a framework for practitioners to adopt these advanced methodologies, ultimately leading to more resilient and efficient infrastructure systems.

Authors

Publication Details

Journal
International Journal of Innovative Science and Research Technology (IJISRT)
Published
2024-10-28
DOI
https://doi.org/10.38124/ijisrt/ijisrt24oct867
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.53
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article

Enhancing System Efficiency through AI, Edge Computing, and Resource Optimization in Modern Infrastructure

Balusamy Nachiappan
1 citations
International Journal of Innovative Science and Research Technology (IJISRT)
Big Data and Business Intelligence
0.53
article

Enhancing System Efficiency through AI, Edge Computing, and Resource Optimization in Modern Infrastructure

Balusamy Nachiappan
article en
1 citations

Abstract

This paper explores innovative strategies for enhancing system efficiency in modern infrastructure by integrating artificial intelligence (AI), edge computing, and resource optimization techniques. As the complexity of infrastructure systems increases, traditional methods often fall short in addressing the evolving demands of operational efficiency and reliability. By leveraging AI algorithms for predictive analytics and resource allocation, and utilizing edge computing for real-time data processing, organizations can significantly improve performance and responsiveness. The study examines case studies that highlight successful implementations of these technologies across various sectors, including infrastructure monitoring, and grid maintenance. Insights from this research provide a framework for practitioners to adopt these advanced methodologies, ultimately leading to more resilient and efficient infrastructure systems.

International Journal of Innovative Science and Research Technology (IJISRT)
Industry, innovation and infrastructure
Openalex Percentile: Top 25%
Big Data and Business Intelligence
0.53
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Enhancing System Efficiency through AI, Edge Computing, and Resource Optimization in Modern Infrastructure — Balusamy Nachiappan · International Journal of Innovative Science and Research Technology (IJISRT) (2024) | TGRS Research Map | TGRS