Girma M. Yilma, Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Perez Abstract Large Language Models (LLMs) have immense potential to transform the telecommunications industry. They could help professionals understand complex standards, generate code, and accelerate development. However, traditional LLMs struggle with the precision and source verification essential for telecom work. To address this, specialized LLM-based solutions […]| Computer Communication Review
Fan Gabriella Xue, Matthew Caesar Abstract An increasing number of students are becoming interested in learning about the Internet of Things (IoT) space. However, today, we lack scalable and efficient ways to bring hands-on IoT learning to many due to hardware accessibility, system complexity, and deployment environment constraints. This paper presents ThingVisor, an IoT learning […]| Computer Communication Review
Nik Sultana, Hyunsuk Bang, Elena Yulaeva, Ricky K. P. Mok, Kc Claffy, Richard Mortier Abstract Packet filtering has remained a key network monitoring primitive over decades, even as networking has continuously evolved. In this article we present the results of a survey we ran to collect data from the networking community, including researchers and practitioners, […]| Computer Communication Review
This July 2024 issue contains one technical paper, one educational paper, and one editorial note. The technical paper, A Survey on Packet Filtering, by Nick Sultana and colleagues, was originally submitted as an editorial. Given that CCR does not usually consider survey papers, it went through a thorough reviewing process. Given its value to the […]| Computer Communication Review