activity
20192024
most citedProgressive Neural Compression for Adaptive Image Offloading under Timing Constraints

10 citations · 13 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DC2024

Optimizing Edge Offloading Decisions for Object Detection

Jiaming Qiu, Ruiqi Wang, Brooks Hu +2

Recent advances in machine learning and hardware have produced embedded devices capable of performing real-time object detection with commendable accuracy. We consider a scenario i…

cs.NI2024

On the Benefits of Traffic "Reprofiling" -- The Multiple Hops Case -- Part I

Jiaming Qiu, Jiayi Son, Roch Guerin +1

This paper considers networks where user traffic is regulated through deterministic traffic profiles, e.g., token buckets, and requires hard delay bounds. The network's goal is to…

cs.DC2023★ 10 cited

Progressive Neural Compression for Adaptive Image Offloading under Timing Constraints

Ruiqi Wang, Hanyang Liu, Jiaming Qiu +3

IoT devices are increasingly the source of data for machine learning (ML) applications running on edge servers. Data transmissions from devices to servers are often over local wire…

cs.NI2021★ 1 cited

On the Benefits of Traffic "Reprofiling'' -- The Single Hop Case

Jiayi Song, Jiaming Qiu, Roch Guerin +1

The need to guarantee hard delay bounds to traffic flows with deterministic traffic profiles, e.g., token buckets, arises in a number of network settings. Of interest are solutions…

cs.LG2020★ 2 cited

Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints

Ayan Chakrabarti, Roch Guérin, Chenyang Lu +1

To deploy machine learning-based algorithms for real-time applications with strict latency constraints, we consider an edge-computing setting where a subset of inputs are offloaded…

cs.DC2019

When Two is Worse Than One

R. Guerin

This note is concerned with the impact on job latency of splitting a token bucket into multiple sub-token buckets with equal aggregate parameters and offered the same job arrival p…