activity
20162026
most citedDifferentiable JPEG: The Devil is in the Details

22 citations · 61 across the 30 of their papers we have counts for

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Showing cs.NIShow all

5 papers · 1 filter

cs.NI2023

Deep Learning-Based Real-Time Rate Control for Live Streaming on Wireless Networks

Matin Mortaheb, Mohammad A. Amir Khojastepour, Srimat T. Chakradhar +1

Providing wireless users with high-quality video content has become increasingly important. However, ensuring consistent video quality poses challenges due to variable encoded bitr…

cs.NI2023

5GLoR: 5G LAN Orchestration for enterprise IoT applications

Sandesh Dhawaskar Sathyanarayana, Murugan Sankaradas, Srimat Chakradhar

5G-LAN is an enterprise local area network (LAN) that leverages 5G technology for wireless connectivity instead of WiFi. 5G technology is unique: it uses network slicing to disting…

cs.NI2022★ 1 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…

cs.NI2021

SmartSlice: Dynamic, self-optimization of applications QoS requests to 5G networks

Kunal Rao, Murugan Sankaradas, Vivek Aswal +1

Applications can tailor a network slice by specifying a variety of QoS attributes related to application-specific performance, function or operation. However, some QoS attributes l…

cs.NI2021

AppSlice: A system for application-centric design of 5G and edge computing applications

Murugan Sankaradas, Kunal Rao, Srimat Chakradhar

Applications that use edge computing and 5G to improve response times consume both compute and network resources. However, 5G networks manage only network resources without conside…