most citedI-BOT: Interference-Based Orchestration of Tasks for Dynamic Unmanaged Edge Computing

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.NI2024

Key Focus Areas and Enabling Technologies for 6G

Christopher G. Brinton, Mung Chiang, Kwang Taik Kim +14

We provide a taxonomy of a dozen enabling network architectures, protocols, and technologies that will define the evolution from 5G to 6G. These technologies span the network proto…

cs.CV2024

HopTrack: A Real-time Multi-Object Tracking System for Embedded Devices

Xiang Li, Cheng Chen, Yuan-yao Lou +3

Multi-Object Tracking (MOT) poses significant challenges in computer vision. Despite its wide application in robotics, autonomous driving, and smart manufacturing, there is limited…

cs.DC20241 cited

E-MPC: Edge-assisted Model Predictive Control

Yuan-Yao Lou, Jonathan Spencer, Kwang Taik Kim +1

Model predictive control (MPC) has become the de facto standard action space for local planning and learning-based control in many continuous robotic control tasks, including auton…

eess.SY2024

Utilizing Priors in Sampling-based Cost Minimization

Yuan-Yao Lou, Jonathan Spencer, Kwang Taik Kim +1

We consider an autonomous vehicle (AV) agent performing a long-term cost-minimization problem in the elapsed time over sequences of states and actions for s…

cs.NI2024

Dynamic DAG-Application Scheduling for Multi-Tier Edge Computing in Heterogeneous Networks

Xiang Li, Mustafa Abdallah, Yuan-Yao Lou +3

Edge computing is deemed a promising technique to execute latency-sensitive applications by offloading computation-intensive tasks to edge servers. Extensive research has been cond…

cs.DC20201 cited

I-BOT: Interference-Based Orchestration of Tasks for Dynamic Unmanaged Edge Computing

Shikhar Suryavansh, Chandan Bothra, Kwang Taik Kim +3

In recent years, edge computing has become a popular choice for latency-sensitive applications like facial recognition and augmented reality because it is closer to the end users c…