Enhancing Efficiency in Virtualized Environments: Intelligent Solutions for VMware Errors through Artificial Intelligence and API Integration

Today, virtualization technologies play a critical role in the information technology sector, enabling businesses to manage their infrastructures more efficiently and flexibly. However, the complex structure and extensive feature set of virtualization programs often lead users to encounter error codes and technical issues. This can result in significant time losses and decreases in productivity, especially for inexperienced users. To address these challenges quickly and effectively, the IT sector is increasingly focusing on integrated solutions developed with artificial intelligence and smart assistant technologies. This study introduces the "VMware Assistant" software, designed to address technical issues related to VMware products. VMware Assistant utilizes pre-trained AI models, APIs from various websites, and comprehensive error and warning datasets to automatically detect and provide real-time solutions for user issues. The system aims to alleviate the complexities associated with virtualization programs and offer practical support to users. VMware Assistant consolidates error and warning data from multiple sources, enabling users to swiftly access the information they need. As a result, it accelerates the resolution process for technical issues encountered in virtualized environments, allowing users to maintain workflow continuity. VMware Assistant was developed to facilitate the use of virtualization technologies, potentially enhancing productivity in the IT sector and contributing to technical support processes.

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Publication Details

Journal
Advances in Artificial Intelligence Research
Published
2024-12-28
DOI
https://doi.org/10.54569/aair.1585057
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Efficiency in Virtualized Environments: Intelligent Solutions for VMware Errors through Artificial Intelligence and API Integration

Gül Fatma Türker, Çetin Budak
Advances in Artificial Intelligence Research
Cloud Computing and Resource Management
article

Enhancing Efficiency in Virtualized Environments: Intelligent Solutions for VMware Errors through Artificial Intelligence and API Integration

Gül Fatma Türker, Çetin Budak
article en

Abstract

Today, virtualization technologies play a critical role in the information technology sector, enabling businesses to manage their infrastructures more efficiently and flexibly. However, the complex structure and extensive feature set of virtualization programs often lead users to encounter error codes and technical issues. This can result in significant time losses and decreases in productivity, especially for inexperienced users. To address these challenges quickly and effectively, the IT sector is increasingly focusing on integrated solutions developed with artificial intelligence and smart assistant technologies. This study introduces the "VMware Assistant" software, designed to address technical issues related to VMware products. VMware Assistant utilizes pre-trained AI models, APIs from various websites, and comprehensive error and warning datasets to automatically detect and provide real-time solutions for user issues. The system aims to alleviate the complexities associated with virtualization programs and offer practical support to users. VMware Assistant consolidates error and warning data from multiple sources, enabling users to swiftly access the information they need. As a result, it accelerates the resolution process for technical issues encountered in virtualized environments, allowing users to maintain workflow continuity. VMware Assistant was developed to facilitate the use of virtualization technologies, potentially enhancing productivity in the IT sector and contributing to technical support processes.

Advances in Artificial Intelligence ResearchVol. 4(2)
Suleyman Demirel University (KZ)
Industry, innovation and infrastructure
Openalex Percentile: Top 62%
Cloud Computing and Resource Management
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