11 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…
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…
Foundation CAN LM: A Pretrained Language Model For Automotive CAN Data
Akiharu Esashi, Pawissanutt Lertpongrujikorn, Justin Makino +2
The Controller Area Network (CAN) bus provides a rich source of vehicular signals increasingly leveraged for applications in automotive and auto insurance domains, including collis…
Object Abstraction To Streamline Edge-Cloud-Native Application Development
Pawissanutt Lertpongrujikorn
Cloud computing has fundamentally transformed application development, yet a gap remains between the serverless promise of simplified deployment and its practical realization due t…