The evolution of cloud computing: Leveraging multi-AI agent integration

Multi-AI agent integration in cloud computing represents a transformative advancement in distributed artificial intelligence, where interconnected intelligent agents collaborate to solve complex problems. This technological evolution enables sophisticated task distribution, parallel processing, and dynamic resource allocation through coordinated agent networks. The architecture supports both autonomous operation and collaborative decision-making, implementing advanced protocols for inter-agent communication and system optimization. These systems demonstrate remarkable capabilities across various industries, from financial services to healthcare and manufacturing, revolutionizing traditional approaches to data processing, decision support, and process automation. The integration of cognitive architectures and security frameworks further enhances system capabilities, enabling human-like reasoning patterns and robust protection mechanisms while maintaining operational efficiency.

Authors

Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2025-05-09
DOI
https://doi.org/10.30574/wjarr.2025.26.2.1587
Citations
1
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
3.25
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article

The evolution of cloud computing: Leveraging multi-AI agent integration

Venkata Surya Sai Charan Lolla
1 citations
World Journal of Advanced Research and Reviews
Cloud Computing and Resource Management
3.25
article

The evolution of cloud computing: Leveraging multi-AI agent integration

Venkata Surya Sai Charan Lolla
article en
1 citations

Abstract

Multi-AI agent integration in cloud computing represents a transformative advancement in distributed artificial intelligence, where interconnected intelligent agents collaborate to solve complex problems. This technological evolution enables sophisticated task distribution, parallel processing, and dynamic resource allocation through coordinated agent networks. The architecture supports both autonomous operation and collaborative decision-making, implementing advanced protocols for inter-agent communication and system optimization. These systems demonstrate remarkable capabilities across various industries, from financial services to healthcare and manufacturing, revolutionizing traditional approaches to data processing, decision support, and process automation. The integration of cognitive architectures and security frameworks further enhances system capabilities, enabling human-like reasoning patterns and robust protection mechanisms while maintaining operational efficiency.

World Journal of Advanced Research and ReviewsVol. 26(2)
Openalex Percentile: Top 9%
Cloud Computing and Resource Management
3.25
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The evolution of cloud computing: Leveraging multi-AI agent integration — Venkata Surya Sai Charan Lolla · World Journal of Advanced Research and Reviews (2025) | TGRS Research Map | TGRS