Revolutionizing Edge Computing: REACT Unveils Cloud-Assisted Approach for Reduced Latency & Advanced DNN Workloads

Revolutionizing Edge Computing: REACT Unveils Cloud-Assisted Approach for Reduced Latency & Advanced DNN Workloads

Revolutionizing Edge Computing: REACT Unveils Cloud-Assisted Approach for Reduced Latency & Advanced DNN Workloads

As Seen On

Revolutionizing Edge Computing: REACT Unveils Cloud-Assisted Approach for Reduced Latency & Advanced DNN Workloads

As the Internet of Things (IoT) and mobile computing applications continue to expand, managing latency-sensitive deep neural network (DNN) workloads has become increasingly critical. Edge computing devices were introduced to address these challenges, but their limitations often resulted in shifted tasks to the cloud, which ironically increased latency.

Revolutionizing this landscape is REACT, an architecture that seamlessly merges edge and cloud computing for redundant calculations. REACT aims to enhance accuracy without sacrificing latency, using cloud inputs to asynchronously integrate into the computation stream at the edge.

The Two-Pronged Approach: Frame Skipping and Asynchronous Fusion

REACT’s innovative approach relies on two primary techniques: frame skipping, and asynchronous fusion of cloud detections.

  1. Frame Skipping:

Leveraging spatial-temporal correlations, edge object detection is called only once every few frames, significantly reducing latency. To maintain accuracy, a lightweight object tracking operation occurs every fifth frame, bridging the gap between detection calls.

  1. Asynchronous Fusion of Cloud Detections:

To further refine accuracy, certain frames are transmitted to the cloud, while cloud detections are received after a few frames’ delay. The system then combines the most recent cloud detections with the current image using object tracking, resulting in a robust and accurate detection process.

Experimental Setup and Datasets:

Realizing the potential of REACT, researchers conducted experiments using dashcam video datasets along with top-of-the-line computer vision techniques for obtaining both local and remote object detections. The measure of [email protected] was employed to evaluate detection quality, with the VisDrone and D2City datasets providing a comprehensive playground for testing REACT’s effectiveness.

Promising Results and a Bright Future for REACT:

The experiments’ results were undeniably impressive, showcasing that REACT can offer up to 50% better performance than baseline methods. These findings indicate that edge and cloud models can produce even greater results when working together in a complementary manner.

The proposed edge-cloud fusion approach not only paves the way for improved overall system performance, but also ushers in a new era of possibilities for edge computing solutions. As industries continue to pursue seamless connections in IoT and mobile computing applications, REACT serves as a beacon of hope for managing latency-sensitive DNN workloads without compromising precision and efficiency.

 
 
 
 
 
 
 
Casey Jones Avatar
Casey Jones
2 years ago

Why Us?

  • Award-Winning Results

  • Team of 11+ Experts

  • 10,000+ Page #1 Rankings on Google

  • Dedicated to SMBs

  • $175,000,000 in Reported Client
    Revenue

Contact Us

Up until working with Casey, we had only had poor to mediocre experiences outsourcing work to agencies. Casey & the team at CJ&CO are the exception to the rule.

Communication was beyond great, his understanding of our vision was phenomenal, and instead of needing babysitting like the other agencies we worked with, he was not only completely dependable but also gave us sound suggestions on how to get better results, at the risk of us not needing him for the initial job we requested (absolute gem).

This has truly been the first time we worked with someone outside of our business that quickly grasped our vision, and that I could completely forget about and would still deliver above expectations.

I honestly can’t wait to work in many more projects together!

Contact Us

Disclaimer

*The information this blog provides is for general informational purposes only and is not intended as financial or professional advice. The information may not reflect current developments and may be changed or updated without notice. Any opinions expressed on this blog are the author’s own and do not necessarily reflect the views of the author’s employer or any other organization. You should not act or rely on any information contained in this blog without first seeking the advice of a professional. No representation or warranty, express or implied, is made as to the accuracy or completeness of the information contained in this blog. The author and affiliated parties assume no liability for any errors or omissions.