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<title>AI-assisted virtualization software</title>

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<span id="openzim-page-title" class="mw-page-title-main"><span class="mw-page-title-main">AI-assisted virtualization software</span></span>

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<div id="mw-content-text" class="mw-body-content mw-content-ltr" lang="en" dir="ltr"><div class="mw-content-ltr mw-parser-output" lang="en" dir="ltr"><p><b>AI-assisted virtualization software</b> is a type of technology that combines the principles of <a href="Virtualization" title="Virtualization">virtualization</a> with advanced <a href="Artificial_intelligence" title="Artificial intelligence">artificial intelligence</a> (AI) algorithms. This software is designed to improve efficiency and management of virtual environments and resources. This technology has been used in cloud computing and for various industries.

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<div class="mw-heading mw-heading2"><h2 id="History">History</h2></div>

<p><a href="Virtualization" title="Virtualization">Virtualization</a> originated in <a href="Mainframe_computer" title="Mainframe computer">mainframe computers</a> in the 1960s in order to divide system resources between different applications. The term has since broadened.

</p><p>The use of AI in virtualization significantly increased in the early 2020s.<sup id="cite_ref-1" class="reference"><a href="#cite_note-1"><span class="cite-bracket">[</span>1<span class="cite-bracket">]</span></a></sup>

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<p>AI-assisted virtualization software uses AI-related technology such as <a href="Machine_learning" title="Machine learning">machine learning</a>, <a href="Deep_learning" title="Deep learning">deep learning</a>, and <a href="Neural_network" title="Neural network">neural networks</a> to attempt to make more accurate predictions and decisions regarding the management of virtual environments. Features include intelligent automation, <a href="Predictive_analytics" title="Predictive analytics">predictive analytics</a>, and dynamic resource allocation.<sup id="cite_ref-2" class="reference"><a href="#cite_note-2"><span class="cite-bracket">[</span>2<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-3" class="reference"><a href="#cite_note-3"><span class="cite-bracket">[</span>3<span class="cite-bracket">]</span></a></sup>

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<ul><li>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.</li>

<li>Predictive Analytics: Utilizing AI to analyze data patterns and trends, predicting future issues or resource requirements. It aids in proactive management and mitigation of potential problems.</li>

<li>Dynamic Resource Allocation: Through the analysis of real-time and historical data, the AI system dynamically assigns resources based on demand and need, optimizing overall system performance and reducing wastage.</li></ul>

<p>AI-assisted virtualization software has been used in cloud computing to optimize the use of resources and reduce costs. In healthcare, these technologies have been used to create virtual patient profiles. They are also used in data centers to improve performance and energy efficiency.<sup id="cite_ref-4" class="reference"><a href="#cite_note-4"><span class="cite-bracket">[</span>4<span class="cite-bracket">]</span></a></sup> It has also been used in network function virtualization (NFV) to improve virtual network infrastructure.<sup id="cite_ref-5" class="reference"><a href="#cite_note-5"><span class="cite-bracket">[</span>5<span class="cite-bracket">]</span></a></sup>

</p><p>Implementing this type of software requires a high degree of technological sophistication and can incur significant costs. There are also concerns about the risks associated with AI, such as algorithmic bias and security vulnerabilities. Additionally, there are issues related to governance, the <a href="Ethics_of_artificial_intelligence" title="Ethics of artificial intelligence">ethics of artificial intelligence</a>, and regulations of AI technologies.<sup id="cite_ref-6" class="reference"><a href="#cite_note-6"><span class="cite-bracket">[</span>6<span class="cite-bracket">]</span></a></sup>

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<div class="mw-heading mw-heading2"><h2 id="References">References</h2></div>

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</style><cite id="CITEREFHaenleinKaplan2019" class="citation journal cs1">Haenlein, Michael; Kaplan, Andreas (August 2019). <span class="id-lock-subscription" title="Paid subscription required"><a rel="nofollow" class="external text" href="http://journals.sagepub.com/doi/10.1177/0008125619864925">"A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence"</a></span>. <i>California Management Review</i>. <b>61</b> (4): <span class="nowrap">5–</span>14. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1177%2F0008125619864925">10.1177/0008125619864925</a>. <a href="ISSN_(identifier)" class="mw-redirect" title="ISSN (identifier)">ISSN</a> <a rel="nofollow" class="external text" href="https://search.worldcat.org/issn/0008-1256">0008-1256</a>. <a href="S2CID_(identifier)" class="mw-redirect" title="S2CID (identifier)">S2CID</a> <a rel="nofollow" class="external text" href="https://api.semanticscholar.org/CorpusID:199866730">199866730</a>.</cite></span>

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<li id="cite_note-2"><span class="mw-cite-backlink"><b><a href="#cite_ref-2">^</a></b></span> <span class="reference-text"><cite id="CITEREFSharmaNagCordeiroAyoub2020" class="citation book cs1">Sharma, Sachin; Nag, Avishek; Cordeiro, Luis; Ayoub, Omran; Tornatore, Massimo; Nekovee, Maziar (2020-11-23). <a rel="nofollow" class="external text" href="https://dx.doi.org/10.1145/3386367.3431673">"Towards explainable artificial intelligence for network function virtualization"</a>. <i>Proceedings of the 16th International Conference on emerging Networking EXperiments and Technologies</i>. New York, NY, USA: ACM. pp. <span class="nowrap">558–</span>559. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1145%2F3386367.3431673">10.1145/3386367.3431673</a>. <a href="ISBN_(identifier)" class="mw-redirect" title="ISBN (identifier)">ISBN</a> <bdi>9781450379489</bdi>. <a href="S2CID_(identifier)" class="mw-redirect" title="S2CID (identifier)">S2CID</a> <a rel="nofollow" class="external text" href="https://api.semanticscholar.org/CorpusID:227154563">227154563</a>.</cite></span>

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<li id="cite_note-3"><span class="mw-cite-backlink"><b><a href="#cite_ref-3">^</a></b></span> <span class="reference-text"><cite id="CITEREFGilbert2019" class="citation book cs1">Gilbert, Mazin, ed. (2019). <i>Artificial intelligence for autonomous networks</i>. Chapman & Hall/CRC artificial intelligence and robotics series. Boca Raton London New York: CRC Press, Taylor & Francis Group. <a href="ISBN_(identifier)" class="mw-redirect" title="ISBN (identifier)">ISBN</a> <bdi>978-0-8153-5531-1</bdi>.</cite></span>

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<li id="cite_note-4"><span class="mw-cite-backlink"><b><a href="#cite_ref-4">^</a></b></span> <span class="reference-text"><cite id="CITEREFAnwar2018" class="citation book cs1">Anwar, Mohd. Sadique Shaikh (2018). <i>Bigdata and Business Virtualization</i>. <a href="ISBN_(identifier)" class="mw-redirect" title="ISBN (identifier)">ISBN</a> <bdi>978-6139872022</bdi>.</cite></span>

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<li id="cite_note-5"><span class="mw-cite-backlink"><b><a href="#cite_ref-5">^</a></b></span> <span class="reference-text"><cite id="CITEREFJagannathRamezanpourJagannath2022" class="citation book cs1">Jagannath, Jithin; Ramezanpour, Keyvan; Jagannath, Anu (2022-05-16). <a rel="nofollow" class="external text" href="https://dx.doi.org/10.1145/3522783.3529519">"Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks"</a>. <i>Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning</i>. New York, NY, USA: ACM. pp. <span class="nowrap">81–</span>86. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1145%2F3522783.3529519">10.1145/3522783.3529519</a>. <a href="ISBN_(identifier)" class="mw-redirect" title="ISBN (identifier)">ISBN</a> <bdi>9781450392778</bdi>. <a href="S2CID_(identifier)" class="mw-redirect" title="S2CID (identifier)">S2CID</a> <a rel="nofollow" class="external text" href="https://api.semanticscholar.org/CorpusID:247957748">247957748</a>.</cite></span>

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<li id="cite_note-6"><span class="mw-cite-backlink"><b><a href="#cite_ref-6">^</a></b></span> <span class="reference-text"><cite id="CITEREFRawatAwasthiBalasKumar2023" class="citation book cs1">Rawat, Danda B.; Awasthi, Lalit K; Balas, Valentina Emilia; Kumar, Mohit; Samriya, Jitendra Kumar (2023). <i>Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation</i>. Scrivener Publishing LLC. <a href="ISBN_(identifier)" class="mw-redirect" title="ISBN (identifier)">ISBN</a> <bdi>9781119904885</bdi>.</cite></span>

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