most citedROMA: Resource Orchestration for Microservices-based 5G Applications

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Elixir: A system to enhance data quality for multiple analytics on a video stream

Sibendu Paul, Kunal Rao, Giuseppe Coviello +4

IoT sensors, especially video cameras, are ubiquitously deployed around the world to perform a variety of computer vision tasks in several verticals including retail, healthcare, s…

cs.CV2022

APT: Adaptive Perceptual quality based camera Tuning using reinforcement learning

Sibendu Paul, Kunal Rao, Giuseppe Coviello +4

Cameras are increasingly being deployed in cities, enterprises and roads world-wide to enable many applications in public safety, intelligent transportation, retail, healthcare and…

cs.CV2022

Why is the video analytics accuracy fluctuating, and what can we do about it?

Sibendu Paul, Kunal Rao, Giuseppe Coviello +4

It is a common practice to think of a video as a sequence of images (frames), and re-use deep neural network models that are trained only on images for similar analytics tasks on v…

cs.NI20221 cited

ROMA: Resource Orchestration for Microservices-based 5G Applications

Anousheh Gholami, Kunal Rao, Wang-Pin Hsiung +3

With the growth of 5G, Internet of Things (IoT), edge computing and cloud computing technologies, the infrastructure (compute and network) available to emerging applications (AR/VR…

eess.SP2022

Edge-based fever screening system over private 5G

Murugan Sankaradas, Kunal Rao, Ravi Rajendran +2

Edge computing and 5G have made it possible to perform analytics closer to the source of data and achieve super-low latency response times, which is not possible with centralized c…