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of 10
pro vyhledávání: '"Moothedath, Vishnu Narayanan"'
Autor:
Mostafavi, Samie, Moothedath, Vishnu Narayanan, Rönngren, Stefan, Roy, Neelabhro, Sharma, Gourav Prateek, Seo, Sangwon, Muñoz, Manuel Olguín, Gross, James
This paper presents ExPECA, an edge computing and wireless communication research testbed designed to tackle two pressing challenges: comprehensive end-to-end experimentation and high levels of experimental reproducibility. Leveraging OpenStack-based
Externí odkaz:
http://arxiv.org/abs/2311.01279
Autor:
Al-Atat, Ghina, Fresa, Andrea, Behera, Adarsh Prasad, Moothedath, Vishnu Narayanan, Gross, James, Champati, Jaya Prakash
Resource-constrained Edge Devices (EDs), e.g., IoT sensors and microcontroller units, are expected to make intelligent decisions using Deep Learning (DL) inference at the edge of the network. Toward this end, there is a significant research effort in
Externí odkaz:
http://arxiv.org/abs/2304.11763
Autor:
Alsakati, Molham, Pettersson, Charlie, Max, Sebastian, Moothedath, Vishnu Narayanan, Gross, James
Since its first release in the late 1990s, Wi-Fi has been updated to keep up with evolving user needs. Recently, Wi-Fi and other radio access technologies have been pushed to their edge when serving Augmented Reality (AR) applications. AR application
Externí odkaz:
http://arxiv.org/abs/2304.01693
Publikováno v:
IEEE Transactions on Machine Learning in Communications and Networking, vol. 2, pp. 280-297, 2024
We consider a resource-constrained Edge Device (ED), such as an IoT sensor or a microcontroller unit, embedded with a small-size ML model (S-ML) for a generic classification application and an Edge Server (ES) that hosts a large-size ML model (L-ML).
Externí odkaz:
http://arxiv.org/abs/2304.00891
Autor:
Moothedath, Vishnu Narayanan
We study the problem of optimal sampling in an edge-based video analytics system (VAS), where sensor samples collected at a terminal device are offloaded to a back-end server that processes them and generates feedback for a user. Sampling the system
Externí odkaz:
http://arxiv.org/abs/2302.00478
We study the problem of finding efficient sampling policies in an edge-based feedback system, where sensor samples are offloaded to a back-end server that processes them and generates feedback to a user. Sampling the system at maximum frequency resul
Externí odkaz:
http://arxiv.org/abs/2109.09474
Akademický článek
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Publikováno v:
IMDEA Networks Institute Digital Repository
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We study the problem of finding efficient sampling policies in an edge-based feedback system, where sensor samples are offloaded to a back-end server that processes them and generates feedback to a user. Sampling the system at maximum frequency resul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6ee62b920d37bbb87829f32e52b383e
https://hdl.handle.net/20.500.12761/1572
https://hdl.handle.net/20.500.12761/1572
Autor:
Olguín Muñoz, Manuel Osvaldo, Mostafavi, Seyed Samie, Moothedath, Vishnu Narayanan, Gross, James
Experimental research on wireless networking in combination with edge and cloud computing has been the subject of explosive interest in the last decade. This development has been driven by the increasing complexity of modern wireless technologies and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______260::250b252aca91e11080f9cd977580f989
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-327217
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-327217
Akademický článek
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