2 citations · 2 across the 1 of their papers we have counts for
3 papers
Cost-effective Machine Learning Inference Offload for Edge Computing
Christian Makaya, Amalendu Iyer, Jonathan Salfity +2
Computing at the edge is increasingly important since a massive amount of data is generated. This poses challenges in transporting all that data to the remote data centers and clou…
A Comprehensive Study on Load Balancers for VNF chains Horizontal Scaling
Jiefei Ma, Windhya Rankothge, Christian Makaya +3
We present an architectural design and a reference implementation for horizontal scaling of virtual network function chains. Our solution does not require any changes to network fu…
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang, Tiffany Tuor, Theodoros Salonidis +4
Emerging technologies and applications including Internet of Things (IoT), social networking, and crowd-sourcing generate large amounts of data at the network edge. Machine learnin…