420 citations · 462 across the 5 of their papers we have counts for
6 papers
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques
JunKyu Lee, Lev Mukhanov, Amir Sabbagh Molahosseini +6
Deep learning is pervasive in our daily life, including self-driving cars, virtual assistants, social network services, healthcare services, face recognition, etc. However, deep ne…
Revisiting the Arguments for Edge Computing Research
Blesson Varghese, Eyal de Lara, Aaron Ding +8
This article argues that low latency, high bandwidth, device proliferation, sustainable digital infrastructure, and data privacy and sovereignty continue to motivate the need for e…
ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layer
Hyunho Ahn, Munkyu Lee, Cheol-Ho Hong +1
Industrial Internet of Things (IIoT) applications can benefit from leveraging edge computing. For example, applications underpinned by deep neural networks (DNN) models can be slic…
A Survey on Edge Performance Benchmarking
Blesson Varghese, Nan Wang, David Bermbach +4
Edge computing is the next Internet frontier that will leverage computing resources located near users, sensors, and data stores to provide more responsive services. Therefore, it…
Cloud Futurology
Blesson Varghese, Philipp Leitner, Suprio Ray +9
The Cloud has become integral to most Internet-based applications and user gadgets. This article provides a brief history of the Cloud and presents a researcher's view of the prosp…
Resource Management in Fog/Edge Computing: A Survey
Cheol-Ho Hong, Blesson Varghese
Contrary to using distant and centralized cloud data center resources, employing decentralized resources at the edge of a network for processing data closer to user devices, such a…