14 citations · 15 across the 19 of their papers we have counts for
20 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…
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…
Downsides of Smartness Across Edge-Cloud Continuum in Modern Industry
Akhil Gupta Chigullapally, Sharvan Vittala, Razin Farhan Hussian +1
The fast pace of modern AI is rapidly transforming traditional industrial systems into vast, intelligent and potentially unmanned autonomous operational environments driven by AI-b…
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…
Audo-Sight: AI-driven Ambient Perception Across Edge-Cloud for Blind and Low Vision Users
Jacob Bradshaw, Mohsen Riahi Alam, Bhanuja Ainary +2
Despite advances in assistive technologies, Blind and Low-Vision (BLV) individuals continue to face challenges in understanding their surroundings. Delivering concise, useful, and…
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…
Benchmarking Different Application Types across Heterogeneous Cloud Compute Services
Nivedhitha Duggi, Masoud Rafiei, Mohsen Amini Salehi
Infrastructure as a Service (IaaS) clouds have become the predominant underlying infrastructure for the operation of modern and smart technology. IaaS clouds have proven to be usef…
HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud
Minseo Kim, Wei Shu, Mohsen Amini Salehi
The high computational, memory, and energy demands of Deep Learning (DL) applications often exceed the capabilities of battery-powered edge devices, creating difficulties in meetin…
Action Engine: Automatic Workflow Generation in FaaS
Akiharu Esashi, Pawissanutt Lertpongrujikorn, Shinji Kato +1
Function as a Service (FaaS) is poised to become the foundation of the next generation of cloud systems due to its inherent advantages in scalability, cost-efficiency, and ease of…
Streamlining Cloud-Native Application Development and Deployment with Robust Encapsulation
Pawissanutt Lertpongrujikorn, Hai Duc Nguyen, Mohsen Amini Salehi
Current Serverless abstractions (e.g., FaaS) poorly support non-functional requirements (e.g., QoS and constraints), are provider-dependent, and are incompatible with other cloud a…
A Multi-Level Approach for Class Imbalance Problem in Federated Learning for Remote Industry 4.0 Applications
Razin Farhan Hussain, Mohsen Amini Salehi
Deep neural network (DNN) models are effective solutions for industry 4.0 applications (\eg oil spill detection, fire detection, anomaly detection). However, training a DNN network…
Object as a Service: Simplifying Cloud-Native Development through Serverless Object Abstraction
Pawissanutt Lertpongrujikorn, Mohsen Amini Salehi
The function-as-a-service (FaaS) paradigm is envisioned as the next generation of cloud computing systems that mitigate the burden for cloud-native application developers by abstra…
Tutorial: Object as a Service (OaaS) Serverless Cloud Computing Paradigm
Pawissanutt Lertpongrujikorn, Mohsen Amini Salehi
While the first generation of cloud computing systems mitigated the job of system administrators, the next generation of cloud computing systems is emerging to mitigate the burden…
FastMig: Leveraging FastFreeze to Establish Robust Service Liquidity in Cloud 2.0
Sorawit Manatura, Thanawat Chanikaphon, Chantana Chantrapornchai +1
Service liquidity across edge-to-cloud or multi-cloud will serve as the cornerstone of the next generation of cloud computing systems (Cloud 2.0). Provided that cloud-based service…
Resource Allocation of Industry 4.0 Micro-Service Applications across Serverless Fog Federation
Razin Farhan Hussain, Mohsen Amini Salehi
The Industry 4.0 revolution has been made possible via AI-based applications (e.g., for automation and maintenance) deployed on the serverless edge (aka fog) computing platforms at…
HEET: A Heterogeneity Measure to Quantify the Difference across Distributed Computing Systems
Ali Mokhtari, Saeid Ghafouri, Pooyan Jamshidi +1
Although system heterogeneity has been extensively studied in the past, there is yet to be a study on measuring the impact of heterogeneity on system performance. For this purpose,…
UMS: Live Migration of Containerized Services across Autonomous Computing Systems
Thanawat Chanikaphon, Mohsen Amini Salehi
Containerized services deployed within various computing systems, such as edge and cloud, desire live migration support to enable user mobility, elasticity, and load balancing. To…
Efficiency in the Serverless Cloud Paradigm: A Survey on the Reusing and Approximation Aspects
Chavit Denninnart, Thanawat Chanikaphon, Mohsen Amini Salehi
Serverless computing along with Function-as-a-Service (FaaS) is forming a new computing paradigm that is anticipated to found the next generation of cloud systems. The popularity o…