Emerging Trends in Computer Science and Telecommunication: a Convergence Analysis

EasyChair Preprint 14825

Abstract

The convergence of computer science and telecommunication has sparked significant advancements and innovations in recent years. This paper explores the emerging trends in these intertwined fields, focusing on the integration of advanced technologies and their implications. Key areas of convergence include the proliferation of 5G and beyond networks, which are driving the development of ultra-low latency and high-speed communication systems. Additionally, the rise of edge computing is enhancing the efficiency and responsiveness of data processing at the network edge, reducing reliance on centralized cloud infrastructure. The integration of artificial intelligence and machine learning is transforming network management and optimization, enabling predictive maintenance, dynamic resource allocation, and enhanced security measures. The expansion of the Internet of Things (IoT) is further driving the need for scalable and flexible telecommunication infrastructures to support a growing number of connected devices. This paper provides a comprehensive analysis of these trends, highlighting their impact on the future of computer science and telecommunication, and offering insights into potential research directions and practical applications.

Keyphrases: 5G networks, Artificial Intelligence, Computer Science, Edge Computing, Internet of Things (IoT), Network Management, Telecommunication, convergence, data processing, machine learning

@booklet{EasyChair:14825,
  author    = {Peter Broklyn},
  title     = {Emerging Trends in Computer Science and Telecommunication: a Convergence Analysis},
  howpublished = {EasyChair Preprint 14825},
  year      = {EasyChair, 2024}}