Transforming Operations Support Systems with Multi-Agent AI and Edge Data Processing

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Shabrinath Motamary

Abstract

In the rapidly evolving landscape of telecommunications, Operations Support Systems (OSS) play a pivotal role in managing networks, monitoring services, and ensuring seamless connectivity. The integration of Multi-Agent Artificial Intelligence (AI) with Edge Data Processing represents a transformative approach to enhancing the efficiency and resilience of OSS frameworks. This synergy capitalizes on the distributed intelligence of multi-agent systems, which can autonomously collaborate and optimize network operations, while edge data processing facilitates real-time analytics at the source of data generation. This convergence aims to address the challenges posed by the increasing complexity and scale of modern networks.


Multi-Agent AI in OSS is characterized by its distributed architecture and capacity for decentralized decision-making. By leveraging agents that possess specific functionalities, OSS can achieve sophisticated coordination and adaptive problem-solving capabilities. These agents, through a combination of machine learning and expert systems, can dynamically respond to network anomalies, optimize resource allocation, and predict potential failures. This ensures not only enhanced operational efficiency but also reduced downtime, thereby fostering a more robust telecommunications environment.


Edge data processing further complements this AI-driven enhancement of OSS by significantly reducing the latency associated with data analysis. Traditional centralized processing models can be bottlenecked by the sheer volume of data generated at the network's periphery. In contrast, edge processing allows data to be analyzed and acted upon locally, minimizing transmission delays and enabling real-time responsiveness. This paradigm shift in data processing empowers OSS to quickly adapt to changing network conditions, enhancing its ability to maintain service quality and operational agility. Together, Multi-Agent AI and edge computing redefine OSS capabilities, ensuring future networks remain resilient, efficient, and capable of meeting the challenges of an increasingly connected world.

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How to Cite
Shabrinath Motamary. (2022). Transforming Operations Support Systems with Multi-Agent AI and Edge Data Processing. International Journal on Recent and Innovation Trends in Computing and Communication, 10(12), 549–568. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/11602
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