چکیده مقاله
Managing complex multi layer networks through traditional fault diagnosis methods has become increasingly challenging due to large scale and intricate internal dependencies This paper presents the design and evaluation of an autonomous network assistant, named AI ANA, which employs artificial intelligence to deliver an integrated solution for the intelligent management of such networks The proposed framework, by combining machine learning—specifically leveraging statistical anomaly detection Z score for real time fault flagging and LSTM for predictive loop modeling—and natural language processing, provides capabilities including real time monitoring, intelligent anomaly detection, root cause analysis across different network layers, and automated configuration management for remediation The system architecture is based on a modular and event driven approach, enabling concurrent processing of diverse network data streams Evaluation of the system was conducted in a precise simulated environment with realistic failure scenarios across L2, MPLS, and VPLS domains The assessment results indicate a significant improvement in key performance indicators compared to conventional methods, specifically showing a marked reduction in fault detection and recovery time, along with a high Automation Success Rate These accomplishments have led to a considerable decrease in the operational burden on network management teams This research represents an effective step toward realizing the vision of self healing and self managing networks and demonstrates the high potential of deeply integrating artificial intelligence into next generation network management systems
کلیدواژهها
نویسندگان
Babak Alahdegir
Islamic Azad University of Ahvaz Telecommunication Company of Iran TC
Fatemeh Talebifar
AmirKabir Industrial University Telecommunication Company of Iran TC
شیوه ارجاع
Alahdegir, Babak and Talebifar, Fatemeh,1404,Design and Evaluation of a Real-Time AI-Driven Autonomous Network Assistant (AI-ANA) For Management and Fault Diagnosis in Iran Telecommunications Company Large-Scale Networks,The 4th International Conference and the 9th National Conference on Computers, Information Technology and Artificial Intelligence Applications,Ahvaz
ارائهشده در
مجموعه مقالات پنجمین همایش ملی و نخستین همایش بین المللی محاسبات نرم علوم مهندسی در صنعت و جامعه26 بهمن 1404 · ایرانشهر