8 papers
Empirical Analysis of Cloud-Edge Infrastructure Complexity: Practitioner Pain Points and Architectural Directions
Pawissanutt Lertpongrujikorn, Hai Duc Nguyen, Mohsen Amini Salehi
The proliferation of cloud, edge, and Internet of Things (IoT) computing has created unprecedented opportunities for distributed applications. However, this architectural shift int…
Artificial Intelligence for Spatially Reconfigurable Antennas: Movable, Fluid, and Pinching Antenna Systems
Nguyen Cong Luong, Zeping Sui, Thai-Hoc Vu +10
Recently, sixth-generation (6G) wireless networks have moved beyond fixed-array designs toward antenna architectures that can adapt their spatial configuration to specific environm…
From Denoising to Decision Making: A Survey on Diffusion Model-Enabled Deep Reinforcement Learning for Wireless Networks
Nguyen Cong Luong, Zeping Sui, Jie Cao +9
Deep reinforcement learning (DRL) has long been a promising solution for sequential resource management in wireless networks. However, conventional DRL methods are fundamentally li…
Transformer-Enhanced Reinforcement Learning: Fundamentals and Applications in Communication Networks
Nguyen Cong Luong, Shaohan Feng, Nguyen Duc Hai +10
Reinforcement Learning (RL) has long been a powerful solution to various problems in communication networks. However, traditional RL models still face with several limitations. Not…
A Periodic Space of Distributed Computing: Vision & Framework
Mohsen Amini Salehi, Adel N. Tousi, Hai Duc Nguyen +5
Advances in networking and computing technologies throughout the early decades of the 21st century have transformed long-standing dreams of pervasive communication and computation…
Benchmarking Message Brokers for IoT Edge Computing: A Comprehensive Performance Study
Tapajit Chandra Paul, Pawissanutt Lertpongrujikorn, Hai Duc Nguyen +1
Asynchronous messaging is a cornerstone of modern distributed systems, enabling decoupled communication for scalable and resilient applications. Today's message queue (MQ) ecosyste…
EdgeWeaver: Accelerating IoT Application Development Across Edge-Cloud Continuum
Pawissanutt Lertpongrujikorn, Juahn Kwon, Hai Duc Nguyen +1
The rise of complex, latency-sensitive IoT applications across the Edge-Cloud continuum exposes the limitations of current Function-as-a-Service (FaaS) platforms in seamlessly addr…
Exploring Challenges in Developing Edge-Cloud-Native Applications Across Multiple Business Domains
Pawissanutt Lertpongrujikorn, Hai Duc Nguyen, Juahn Kwon +1
As the convergence of cloud computing and advanced networking continues to reshape modern software development, edge-cloud-native paradigms have become essential for enabling scala…