Self-Aware Cloud Ecosystems: Darwinian Evolution in the Digital Frontier

Author(s)	Subhasis Kundu
Country	United States
Abstract	This paper explores the concept of self-aware cloud ecosystems and their potential to transform digital infrastructure through Darwinian evolution. It examines the design of cloud networks that can compete, evolve, and self-optimize in response to shifting demands and environmental conditions. The study investigates the role of artificial intelligence and machine learning algorithms in developing adaptive cloud systems capable of autonomously improving performance, security, and efficiency. The potential benefits of these systems, including optimized resource allocation, enhanced fault tolerance, and greater energy efficiency, are discussed. Additionally, the paper addresses the challenges and ethical implications of self-evolving cloud ecosystems. Finally, it proposes a framework for designing and deploying these advanced cloud networks, paving the way for a new era of intelligent and adaptive digital infrastructure.
Field	Engineering
Published In	Volume 6, Issue 6, November-December 2024
Published On	2024-12-05
DOI	https://doi.org/10.36948/ijfmr.2024.v06i06.40672
Short DOI	https://doi.org/g9bthd

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International Journal For Multidisciplinary Research