Research Article
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Year 2024, Volume: 4 Issue: 2, 78 - 86, 30.12.2024
https://doi.org/10.54569/aair.1585057

Abstract

Project Number

1

References

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  • Barham, P., Dragovic, B., Fraser, K., Hand, S., Harris, T. L., Ho, A., ... and Warfield, A., "Xen and the art of virtualization," in Proceedings of the Nineteenth ACM Symposium on Operating Systems Principles, 2003, pp. 164–177, doi: 10.1145/1165389.945462.
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Enhancing Efficiency in Virtualized Environments: Intelligent Solutions for VMware Errors through Artificial Intelligence and API Integration

Year 2024, Volume: 4 Issue: 2, 78 - 86, 30.12.2024
https://doi.org/10.54569/aair.1585057

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.

Project Number

1

References

  • Smith, J., Nair, R., "Virtual Machines: Versatile Platforms for Systems and Processes," IBM Systems Journal, vol. 44, no. 2, pp. 365–382, 2005.
  • Barham, P., Dragovic, B., Fraser, K., Hand, S., Harris, T. L., Ho, A., ... and Warfield, A., "Xen and the art of virtualization," in Proceedings of the Nineteenth ACM Symposium on Operating Systems Principles, 2003, pp. 164–177, doi: 10.1145/1165389.945462.
  • Clark, C., Fraser, K., Hand, S., Hansen, J. G., Jul, E., Limpach, C., ... and Pratt, I., "Live migration of virtual machines," in Proceedings of the 2nd USENIX Symposium on Networked Systems Design and Implementation, vol. 2, 2005, pp. 273–286.
  • VMware, Inc., White Paper: Understanding VMware vSphere, Palo Alto, CA, 2023. [Online]. Available: https://www.vmware.com/resources/whitepapers/understanding-vsphere.html. [Accessed: Dec. 22, 2024].
  • VMware, Inc., VMware vSphere Documentation, 2023. [Online]. Available: https://docs.vmware.com/en/VMware-vSphere. [Accessed: Dec. 22, 2024].
  • Jin, H., and Patel, P., Troubleshooting Techniques for VMware vSphere. Pearson Education, 2011.
  • Mell, P., and Grance, T., "The NIST definition of cloud computing," NIST Special Publication, vol. 800, no. 145, p. 7, 2011.
  • Rosenblum, M., and Garfinkel, T., "Virtual machine monitors: Current technology and future trends," Computer, vol. 38, no. 5, pp. 39–47, 2005, doi: 10.1109/MC.2005.176.
  • Nurmi, D., Wolski, R., Grzegorczyk, C., and Obertelli, G., "The Eucalyptus open-source cloud-computing system," in Proceedings of the 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, 2009, pp. 124–131.
  • Russell, S. J., and Norvig, P., Artificial Intelligence: A Modern Approach. Prentice Hall, 2009.
  • Jurafsky, D., and Martin, J. H., Speech and Language Processing. Pearson Education, 2019.
  • Maedche, A., Legner, C., Benlian, A., Berger, B., Gimpel, H., Hess, T., ... and Söllner, M., "AI-based digital assistants," Business & Information Systems Engineering, vol. 61, pp. 635–644, 2019.
  • Janarthanam, S., and Nielsen, A., Evolving Conversational Intelligence: How to Build an AI-Powered Chatbot. Manning Publications, 2019.
  • Fenu, G., and Repetto, M., "Chatbots in education: A survey," in Proceedings of the 2nd International Workshop on Intelligent Bots, 2018, pp. 23–34.
  • Chen, Y., Xu, J., Zhang, Z., and Liu, Z., "A survey on chatbot technology," ACM Computing Surveys (CSUR), vol. 54, no. 2, pp. 1–36, 2020.
  • Van Rossum, G., "Python programming language," in Encyclopedia of Computer Science and Technology, vol. 43, Marcel Dekker, 2007, pp. 163–170.
  • Schimansky, T., CustomTkinter. 2023. [Online]. Available: https://customtkinter.tomschimansky.com. [Accessed: Dec. 22, 2024].
  • Hipp, D. R., SQLite. SpringerBriefs in Computer Science, Springer International Publishing, 2021.
  • Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., ... and Amodei, D., "Language models are few-shot learners," Advances in Neural Information Processing Systems, vol. 33, pp. 1877–1901, 2020.
  • Boe, B., PRAW: The Python Reddit API Wrapper. 2023. [Online]. Available: https://praw.readthedocs.io/. [Accessed: Dec. 22, 2024].
  • Stack Exchange Network, Stack Exchange API Documentation. 2023. [Online]. Available: https://api.stackexchange.com/docs. [Accessed: Dec. 22, 2024].
  • Python Software Foundation, Logging HOWTO. 2023. [Online]. Available: https://docs.python.org/3/howto/logging.html. [Accessed: Dec. 22, 2024].
  • Shinners, P., Pygame Essentials. Packt Publishing Ltd., 2011.
  • Chowdhury, M., and Sadek, A. W., "Using natural language processing for improving question answering in online forums," Decision Support Systems, vol. 54, no. 1, pp. 528–540, 2012.
  • Li, Z., et al., "Anomaly Detection and Diagnosis in Cloud Systems Using Machine Learning," IEEE Transactions on Cloud Computing, 2023.
  • Bhardwaj, A. K., Dutta, P. K., & Chintale, P., "AI-Powered Anomaly Detection for Kubernetes Security: A Systematic Approach to Identifying Threats," Babylonian Journal of Machine Learning, 2024, pp. 142–148, doi: 10.58496/BJML/2024/014
  • Jadav, N. K., Nair, A. R., Gupta, R., Tanwar, S., Lakys, Y., & Sharma, R., "AI‐Driven Network Softwarization Scheme for Efficient Message Exchange in IoT Environment Beyond 5G," International Journal of Communication Systems, 2022, e5336, doi: 10.1002/dac.5336.
  • Gulzar, M. A., Han, X., Interlandi, M., Mardani, S., Tetali, S. D., Millstein, T., & Kim, M., "Interactive Debugging for Big Data Analytics," In: Proceedings of the 8th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 16), 2016.
There are 28 citations in total.

Details

Primary Language English
Subjects Knowledge Representation and Reasoning, Planning and Decision Making
Journal Section Research Articles
Authors

Gül Fatma Türker 0000-0001-5714-5102

Çetin Budak 0000-0002-1250-6098

Project Number 1
Publication Date December 30, 2024
Submission Date November 14, 2024
Acceptance Date December 28, 2024
Published in Issue Year 2024 Volume: 4 Issue: 2

Cite

IEEE G. F. Türker and Ç. Budak, “Enhancing Efficiency in Virtualized Environments: Intelligent Solutions for VMware Errors through Artificial Intelligence and API Integration”, Adv. Artif. Intell. Res., vol. 4, no. 2, pp. 78–86, 2024, doi: 10.54569/aair.1585057.

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