research-article

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Elf: accelerate high-resolution mobile deep vision with content-aware parallel offloading

Authors:

Marco Gruteser,

Dipankar Raychaudhuri,

Yanyong ZhangAuthors Info & Claims

MobiCom '21: Proceedings of the 27th Annual International Conference on Mobile Computing and Networking

Pages 201 - 214

https://doi.org/10.1145/3447993.3448628

Published: 09 September 2021 Publication History

Abstract

As mobile devices continuously generate streams of images and videos, a new class of mobile deep vision applications are rapidly emerging, which usually involve running deep neural networks on these multimedia data in real-time. To support such applications, having mobile devices offload the computation, especially the neural network inference, to edge clouds has proved effective. Existing solutions often assume there exists a dedicated and powerful server, to which the entire inference can be offloaded. In reality, however, we may not be able to find such a server but need to make do with less powerful ones. To address these more practical situations, we propose to partition the video frame and offload the partial inference tasks to multiple servers for parallel processing. This paper presents the design of Elf, a framework to accelerate the mobile deep vision applications with any server provisioning through the parallel offloading. Elf employs a recurrent region proposal prediction algorithm, a region proposal centric frame partitioning, and a resource-aware multi-offloading scheme. We implement and evaluate Elf upon Linux and Android platforms using four commercial mobile devices and three deep vision applications with ten state-of-the-art models. The comprehensive experiments show that Elf can speed up the applications by 4.85× with saving bandwidth usage by 52.6%, while with <1% application accuracy sacrifice.

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Liang YZhang SWu J(2025)Scrava: Super Resolution-Based Bandwidth-Efficient Cross-Camera Video AnalyticsIEEE Transactions on Mobile Computing10.1109/TMC.2024.346187924:1(293-305)Online publication date: Jan-2025
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Yi JAcer UKawsar FMin C(2025)Argus: Enabling Cross-Camera Collaboration for Video Analytics on Distributed Smart CamerasIEEE Transactions on Mobile Computing10.1109/TMC.2024.345940924:1(117-134)Online publication date: Jan-2025
https://doi.org/10.1109/TMC.2024.3459409
Mamish JAlharbi RSen SHolla SKamath PSangar YAlshurafa NHester J(2024)NIR-sighted: A Programmable Streaming Architecture for Low-Energy Human-Centric Vision ApplicationsACM Transactions on Embedded Computing Systems10.1145/367207623:6(1-26)Online publication date: 11-Sep-2024
https://dl.acm.org/doi/10.1145/3672076
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Index Terms

Elf: accelerate high-resolution mobile deep vision with content-aware parallel offloading
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
  2. Real-time systems
    1. Real-time system architecture

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MobiCom '21: Proceedings of the 27th Annual International Conference on Mobile Computing and Networking

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DOI:10.1145/3447993

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