Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Padmanabhan Pillai"'
Autor:
Manuel Olguín Muñoz, Roberta Klatzky, Junjue Wang, Padmanabhan Pillai, Mahadev Satyanarayanan, James Gross
Publikováno v:
PLoS ONE, Vol 16, Iss 3, p e0248690 (2021)
Wearable cognitive assistants (WCA) are anticipated to become a widely-used application class, in conjunction with emerging network infrastructures like 5G that incorporate edge computing capabilities. While prototypical studies of such applications
Externí odkaz:
https://doaj.org/article/c36f31f9185841b8b5a040ae4902fbfa
Autor:
Mahadev Satyanarayanan, Ziqiang Feng, Shilpa George, Jan Harkes, Roger Iyengar, Haithem Turki, Padmanabhan Pillai
Publikováno v:
IEEE Micro. 42:39-47
Publikováno v:
Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications.
Autor:
Shilpa George, Thomas Eiszler, Haithem Turki, Mahadev Satyanarayanan, Junjue Wang, Ziqiang Feng, Roger Iyengar, Padmanabhan Pillai
Publikováno v:
IEEE Pervasive Computing. 19:10-18
The growth of edge computing depends on large-scale deployments of edge infrastructure. Benchmarking applications are needed to compare the performance across different edge deployments and against device-only and cloud-only implementations. In this
Autor:
Zhuo Chen, Mihir Bala, Mahadev Satyanarayanan, Junjue Wang, Shao-Wen Yang, Shilpa George, Padmanabhan Pillai, Ziqiang Feng
Publikováno v:
IEEE Internet Computing. 23:27-34
Real-time video analytics on small autonomous drones poses several difficult challenges at the intersection of wireless bandwidth, processing capacity, energy consumption, result accuracy, and timeliness of results. In response to these challenges, t
Autor:
Roberta L. Klatzky, Mahadev Satyanarayanan, Padmanabhan Pillai, Ziqiang Feng, Jan Harkes, Shilpa George
Publikováno v:
IEEE Internet Computing. 23:35-42
The generation of high-quality training data has become the key bottleneck in the use of deep learning across many domains. In this paper, we describe Eureka, an interactive system that leverages edge computing and early discard to greatly improve th
Autor:
Padmanabhan Pillai, Mahadev Satyanarayanan, Truong-An Pham, Yu Xiao, Roberta L. Klatzky, Roger Iyengar, Junjue Wang
Wearable Cognitive Assistance (WCA) amplifies human cognition in real time through a wearable device and low-latency wireless access to edge computing infrastructure. It is inspired by, and broadens, the metaphor of GPS navigation tools that provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1363c0c48bbdfc74ab3b8cce5ccc0702
http://arxiv.org/abs/2101.05766
http://arxiv.org/abs/2101.05766
Autor:
Roger Iyengar, Mahadev Satyanarayanan, Ziqiang Feng, Padmanabhan Pillai, Shilpa George, Junjue Wang
Publikováno v:
SEC
Latency-sensitive edge-native applications may be the key to commercial success of edge infrastructure. However, success in the form of widespread deployment of such applications poses its own challenges. These applications are edge-dependent by defi
Publikováno v:
SEC
We present an end-to-end system for operating energy-aware cloudlets with a low-footprint cluster manager and an adaptive client-side load balancing approach. Our system is designed for small-scale high-density compute clusters that host stateless se
Autor:
Padmanabhan Pillai, Brandon Amos, Anupam Das, Norman Sadeh, Mahadev Satyanarayanan, Junjue Wang
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 14:1-24
We show how to build the components of a privacy-aware, live video analytics ecosystem from the bottom up, starting with OpenFace, our new open-source face recognition system that approaches state-of-the-art accuracy. Integrating OpenFace with interf