AI Fitness Checks, Maintenance and Monitoring on Systems Managing Content & Data: A Study on CMS World
DOI:
https://doi.org/10.18034/mjmbr.v2i2.553Keywords:
Servers Maintenance, Artificial Intelligence (AI), Automated Machine, Repository Optimization, Data Script, Central Processing Unit (CPU)Abstract
Artificial intelligence health checks, monitoring, and maintenance on system managing content in the CMS world are essential to prevent damage and avoidable expenses. To also avoid loss of time from massive downtime, AI has been employed for maintenance functions. Servers which are the houses and homes for data and content from computers, have to be maintained to allow the system to function at an optimal level. The use of AI for this maintenance involves a lot of factors. This work discusses these factors and how the various aspects work to monitor and maintain systems managing content and data. AI is programmed using health monitoring scripts which are commands executed by a particular programming language. This scripts program the AI to check and monitor servers for maintenance function. This maintenance aims to track CPU optimization and allow for the best functioning of the CPU using preventive and predictive maintenance techniques.
Downloads
References
Movva, L., Kurra, C., Koteswara Rao, G., Battula, R. B., Sridhar, M., & Harish, P. (2012). Underwater Acoustic Sensor Networks: A Survey on MAC and Routing Protocols. International Journal of Computer Technology and Applications, 3(3).
Narayana, S. L., Suneetha Devi J., Bhargav Reddy I., Harish Paruchuri. (2012). Optimizing Voice Recognition using Various Techniques. CiiT International Journal of Digital Signal Processing, 4(4), 135-141.
Ujwala, D., Ram Kiran, D. S., Jyothi, B., Fathima, S. S., Paruchuri, H., Koushik, Y. M. S. R. (2012). A Parametric Study on Impedance Matching of A CPW Fed T-shaped UWB Antenna. International Journal of Soft Computing and Engineering, 2(2), 433-436.
Vadlamudi, S. (2015). Enabling Trustworthiness in Artificial Intelligence - A Detailed Discussion. Engineering International, 3(2), 105-114. https://doi.org/10.18034/ei.v3i2.519 DOI: https://doi.org/10.18034/ei.v3i2.519
--0--