'''AI-assisted Virtualizationvirtualization Softwaresoftware''' refers tois a type of technology that combines the principles of [[virtualization]] with advanced [[artificial intelligence]] (AI) algorithms. This fusion allowsis designed to forallow more efficient, dynamic, and intelligent management of virtual environments and resources. This novel technology has been employed in a range of industries, including cloud computing, healthcare, data centers, and network infrastructure, to optimize performance, resource allocation, and security protocols.
== History ==
The initial concept of virtualization dates back to the 1960s, with the advent of [[mainframe computerscomputer]]s. It wasn't until the early 2000s, however, when companies like [[VMware]] and [[Microsoft]] made it mainstream. The integration of AI into this established technology is a much more recent development, evolving with the rapid advancements in AI research and applications over the last decade. AI-assisted virtualization software began to gain significant attention in the early 2020s as businesses and researchers began to acknowledge the potential of AI in automating and optimizing various aspects of virtualization.<ref>{{Cite journal |last=Haenlein |first=Michael |last2=Kaplan |first2=Andreas |date=2019-08 |title=A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence |url=http://journals.sagepub.com/doi/10.1177/0008125619864925 |journal=California Management Review |language=en |volume=61 |issue=4 |pages=5–14 |doi=10.1177/0008125619864925 |issn=0008-1256}}</ref>
== Functionality ==
AI-assisted Virtualizationvirtualization Softwaresoftware operates by leveraging AI techniques such as [[machine learning]], [[deep learning]], and [[neural networksnetwork]]s to make more accurate predictions and decisions regarding the management of virtual environments. Key features include intelligent automation, predictive analytics, and dynamic resource allocation.<ref>{{Cite journal |last=Sharma |first=Sachin |last2=Nag |first2=Avishek |last3=Cordeiro |first3=Luis |last4=Ayoub |first4=Omran |last5=Tornatore |first5=Massimo |last6=Nekovee |first6=Maziar |date=2020-11-23 |title=Towards explainable artificial intelligence for network function virtualization |url=http://dx.doi.org/10.1145/3386367.3431673 |journal=Proceedings of the 16th International Conference on emerging Networking EXperiments and Technologies |___location=New York, NY, USA |publisher=ACM |doi=10.1145/3386367.3431673}}</ref><ref>{{Cite book |title=Artificial intelligence for autonomous networks |date=2019 |publisher=CRC Press, Taylor & Francis Group |isbn=978-0-8153-5531-1 |editor-last=Gilbert |editor-first=Mazin |series=Chapman & Hall/CRC artificial intelligence and robotics series |___location=Boca Raton London New York}}</ref>
* Intelligent Automation: Automating tasks such as resource provisioning and routine maintenance. The AI learns from ongoing operations and can predict and perform necessary tasks autonomously.
