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Edge Enhanced Deep Learning System for Large-Scale Video Stream Analytics

Muhammad Ali, Ashiq Anjum, M. Usman Yaseen, A. Reza Zamani, Daniel Balouek-Thomert, Omer Rana, Manish Parashar
<span title="">2018</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/eqtqi5vlfbbdxk2x53mcfzrr3i" style="color: black;">2018 IEEE 2nd International Conference on Fog and Edge Computing (ICFEC)</a> </i> &nbsp;
The basic processing stages and trained models are distributed towards the edge of the network and on in-transit and cloud resources.  ...  Results on an object recognition scenario show 71% efficiency gain in the throughput of the system by employing a combination of edge, in-transit and cloud resources when compared to a cloud-only approach  ...  CONCLUSIONS In this paper, an edge-based system for deep learning is proposed for efficient and large-scale video stream analytics.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cfec.2018.8358733">doi:10.1109/cfec.2018.8358733</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icfec/AliAYZBRP18.html">dblp:conf/icfec/AliAYZBRP18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3g5mvxvwkfdwhob6dmersotd7u">fatcat:3g5mvxvwkfdwhob6dmersotd7u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180722144328/http://orca.cf.ac.uk/111447/1/Edge-Enhanced-Deep-Learning-ICFEC18.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1e/7b/1e7bbb251ad75298cbd0ffcc7d2c81e2d581dfab.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cfec.2018.8358733"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Performance characterization of video analytics workloads in heterogeneous edge infrastructures

Daniel Rivas, Francesc Guim, Jordà Polo, David Carrera
<span title="2021-05-07">2021</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/o454xj4tdjfllm3oragfkdrffi" style="color: black;">Concurrency and Computation</a> </i> &nbsp;
K E Y W O R D S DNN, edge cloud, end-to-end video analytics, inference, video analytics, video decoding INTRODUCTION Computer vision, thanks in part to the rapid advancements in deep learning, has boosted  ...  Our experiments show that managing video analytics workloads efficiently requires awareness of both, the platforms in which these are executed, and the full end-to-end pipeline.  ...  This model is the first step toward an analytical model to help us design and optimize heterogeneous edge cloud infrastructures.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/cpe.6317">doi:10.1002/cpe.6317</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fay3qd4jibe55fppiaasixs37q">fatcat:fay3qd4jibe55fppiaasixs37q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210717184842/https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cpe.6317" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/55/d2/55d28b86483d15a30c2480f70e293d0a9dfe22c4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/cpe.6317"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> wiley.com </button> </a>

GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge [article]

Arthi Padmanabhan, Neil Agarwal, Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
<span title="2022-05-04">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Video analytics pipelines have steadily shifted to edge deployments to reduce bandwidth overheads and privacy violations, but in doing so, face an ever-growing resource tension.  ...  Most notably, edge-box GPUs lack the memory needed to concurrently house the growing number of (increasingly complex) models for real-time inference.  ...  Motivation Memory Pressure in Edge Video Analytics To run inference with a given model, that model's layers and parameters must be loaded into the GPU's memory, with sufficient space reserved to house  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2201.07705v2">arXiv:2201.07705v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/aqdf4rdhlrgbjehljg3mfk5auq">fatcat:aqdf4rdhlrgbjehljg3mfk5auq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220507101818/https://arxiv.org/pdf/2201.07705v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/50/4d/504d298c9533512b310a26134dd6fbb80d0c10c6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2201.07705v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Live Video Analytics with FPGA-based Smart Cameras

Shang Wang, Chen Zhang, Yuanchao Shu, Yunxin Liu
<span title="">2019</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6ic3uq2bh5ezhkpheq3qkakozy" style="color: black;">Proceedings of the 2019 Workshop on Hot Topics in Video Analytics and Intelligent Edges - HotEdgeVideo&#39;19</a> </i> &nbsp;
We envision a novel analytics stack that orchestrates the computing resource of massive networked cameras to enable efficient edge video analytics.  ...  This paper presents the abstraction of camera cluster as an attempt to address this challenge in the context of video analytics.  ...  effort towards a holistic analytics stack, as big data framework in cloud.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3349614.3356027">doi:10.1145/3349614.3356027</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/mobicom/WangZSL19.html">dblp:conf/mobicom/WangZSL19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/575dyoeos5e35oxkephcveww2m">fatcat:575dyoeos5e35oxkephcveww2m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200318045602/https://www.microsoft.com/en-us/research/uploads/prod/2019/08/hotedgevideo19camera.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fe/14/fe1465db4a30c7521ec3fbf599df28fab0c397a3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3349614.3356027"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing

Zhi Zhou, Xu Chen, En Li, Liekang Zeng, Ke Luo, Junshan Zhang
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yfvtieuumfamvmjlc255uckdlm" style="color: black;">Proceedings of the IEEE</a> </i> &nbsp;
We then provide an overview of the overarching architectures, frameworks, and emerging key technologies for deep learning model toward training/inference at the network edge.  ...  to video/audio surveillance.  ...  video analytics.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jproc.2019.2918951">doi:10.1109/jproc.2019.2918951</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d53vxmklgfazbmzjhsq3tuoama">fatcat:d53vxmklgfazbmzjhsq3tuoama</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429093817/https://ieeexplore.ieee.org/ielx7/5/8789751/08736011.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/92/8c/928cd808aba140ec298508df87c5579811ff2f41.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jproc.2019.2918951"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

ApproxNet: Content and Contention-Aware Video Analytics System for Embedded Clients [article]

Ran Xu, Rakesh Kumar, Pengcheng Wang, Peter Bai, Ganga Meghanath, Somali Chaterji, Subrata Mitra, Saurabh Bagchi
<span title="2021-07-14">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Videos take a lot of time to transport over the network, hence running analytics on the live video on embedded or mobile devices has become an important system driver.  ...  In this paper, we introduce ApproxNet, a video object classification system for embedded or mobile clients.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the sponsors.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1909.02068v5">arXiv:1909.02068v5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5pa6tzarrfbvvlrmliufylj7ae">fatcat:5pa6tzarrfbvvlrmliufylj7ae</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210718210606/https://arxiv.org/pdf/1909.02068v5.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/98/f0/98f0e6249421c8c98aa0c8b1762d8072762f7d2a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1909.02068v5" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers [article]

Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
<span title="2020-12-19">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Video analytics applications use edge compute servers for the analytics of the videos (for bandwidth and privacy).  ...  Compressed models that are deployed on the edge servers for inference suffer from data drift, where the live video data diverges from the training data.  ...  This work does not raise any ethical issues. 2 Continuous training of models on edge compute Edge Computing for Video Analytics Video analytics deployments commonly analyze videos on edge servers placed  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2012.10557v1">arXiv:2012.10557v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6ml7g46r5rc6tmkcdyam5mbwwm">fatcat:6ml7g46r5rc6tmkcdyam5mbwwm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201225122431/https://arxiv.org/pdf/2012.10557v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/91/0e/910e50c9c687f6f111f4a3f383b6661680519566.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2012.10557v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Collaborative Intelligence: Challenges and Opportunities [article]

Ivan V. Bajić, Weisi Lin, Yonghong Tian
<span title="2021-02-13">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The paper surveys the current state of the art in CI, with special emphasis on signal processing-related challenges in feature compression, error resilience, privacy, and system-level design.  ...  Our goal is to raise awareness in the signal processing community of the challenges and opportunities in this area of growing importance, where key developments are expected to come from signal processing  ...  Towards collaborative compression and intelligent analytics, Video Coding for Machines (VCM) [13, 14] bridges the gap between feature coding for machine vision and video coding for human vision.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2102.06841v1">arXiv:2102.06841v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/344kpjhvrbabxbmb6rzlrgxlo4">fatcat:344kpjhvrbabxbmb6rzlrgxlo4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210217110243/https://arxiv.org/pdf/2102.06841v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7f/41/7f41481c607352767f9bb92e56b31f462145e7ae.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2102.06841v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Gem5-X

Yasir Mahmood Qureshi, William Andrew Simon, Marina Zapater, Katzalin Olcoz, David Atienza
<span title="">2021</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jfrn2kjyarhe7npmgvoxdp4cxu" style="color: black;">ACM Transactions on Architecture and Code Optimization (TACO)</a> </i> &nbsp;
To demonstrate the capabilities of gem5-X, real-time video analytics is used as a case-study.  ...  Then, using a two-step exploration methodology, we develop a new optimized clustered-heterogeneous architecture with HBM2 in gem5-X for video analytics application.  ...  Then, as our case study scenarios involve edge devices, we looked into energy efficient GPUs for mobile and edge computing.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3461662">doi:10.1145/3461662</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kqxefeb3zja33kzxye3yzvdiou">fatcat:kqxefeb3zja33kzxye3yzvdiou</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220303184522/https://os.zhdk.cloud.switch.ch/tind-tmp-epfl/e0c7f4a1-f5c3-45e0-b9da-587feec91b00?response-content-disposition=attachment%3B%20filename*%3DUTF-8&#39;&#39;2020_GEM5_X_Journal_Yasir_cameraready_v2.pdf&amp;response-content-type=application%2Fpdf&amp;AWSAccessKeyId=ded3589a13b4450889b2f728d54861a6&amp;Expires=1646419521&amp;Signature=PmMaRAO741I0h%2BkU2u4pviRD%2BsA%3D" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b3/0a/b30a1219d4b0f7c759a6c7198d1ca0eda56f524c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3461662"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Deep Learning for Edge Computing Applications: A State-of-the-art Survey

Fangxin Wang, Miao Zhang, Xiangxiang Wang, Xiaoqiang Ma, Jiangchuan Liu
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
the efficiency.  ...  Besides, the recent breakthroughs in deep learning have greatly facilitated the data processing capacity, enabling a thrilling development of novel applications, such as video surveillance and autonomous  ...  Pioneer researches have conducted efforts towards intelligent video analytics with edge computing. Ren et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2982411">doi:10.1109/access.2020.2982411</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/43atfhktujbuxns2bsl2cfpnay">fatcat:43atfhktujbuxns2bsl2cfpnay</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108171653/https://ieeexplore.ieee.org/ielx7/6287639/8948470/09044329.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ea/57/ea57bef04cd0c6b08f7ce4fa12ba5ff034fab1cd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2982411"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Kestrel: Video Analytics for Augmented Multi-Camera Vehicle Tracking

Hang Qiu, Xiaochen Liu, Swati Rallapalli, Archith J. Bency, Kevin Chan, Rahul Urgaonkar, B.S. Manjunath, Ramesh Govindan
<span title="">2018</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i23vpbcgwjgqzexjolatzvqvgm" style="color: black;">2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation (IoTDI)</a> </i> &nbsp;
The challenge in these networks is to enable efficient video analytics: the ability to process videos cheaply and quickly to enable searching for specific events or sequences of events.  ...  In this paper, we discuss the design and implementation of Kestrel, a video analytics system that tracks the path of vehicles across a heterogeneous camera network.  ...  Video Analytics for Vehicle Tracking: As a first step to understanding how to design video analytics systems in heterogeneous camera networks, we take a specific problem: to automatically detect a path  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iotdi.2018.00015">doi:10.1109/iotdi.2018.00015</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/iotdi/QiuLRBCUMG18.html">dblp:conf/iotdi/QiuLRBCUMG18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/caguogmi5ja25fhvistq7dyssm">fatcat:caguogmi5ja25fhvistq7dyssm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190502080622/https://cloudfront.escholarship.org/dist/prd/content/qt9vx914mp/qt9vx914mp.pdf?t=pfzatk" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5e/dd/5edd38054fc507f2fd3758604de5127f30459e4b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iotdi.2018.00015"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Distributed Intelligence on the Edge-to-Cloud Continuum: A Systematic Literature Review

Daniel Rosendo, Alexandru Costan, Patrick Valduriez, Gabriel Antoniu
<span title="">2022</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rwjg7tprafhufajayuvxj2q4n4" style="color: black;">Journal of Parallel and Distributed Computing</a> </i> &nbsp;
of edge analytics.  ...  It describes the main learning paradigms enabling learning-based analytics on the Edge-to-Cloud Continuum.  ...  Besides, they discuss the research trends toward efficient ML on the edge, in particular: the optimization of ML techniques to reduce their power consumption, memory requirement, and computation intensity  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jpdc.2022.04.004">doi:10.1016/j.jpdc.2022.04.004</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mopdegh4vrgt5k47vrmc7xum24">fatcat:mopdegh4vrgt5k47vrmc7xum24</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220505120020/https://arxiv.org/pdf/2205.01081v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/71/14/711465364bec07e00ec735b6bedde3ab45f51372.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jpdc.2022.04.004"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Parallel Detection for Efficient Video Analytics at the Edge [article]

Yanzhao Wu, Ling Liu, Ramana Kompella
<span title="2021-07-27">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Deep Neural Network (DNN) trained object detectors are widely deployed in many mission-critical systems for real time video analytics at the edge, such as autonomous driving and video surveillance.  ...  The results show that exploiting multi-model detection parallelism can speed up the online object detection processing rate and deliver near real-time object detection performance for efficient video analytics  ...  ACKNOWLEDGMENT This work is partially sponsored by Cisco grant on edge computing. We thank the discussions and meetings with the Cisco team on edge computing.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.12563v1">arXiv:2107.12563v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hjb2nlg7pzbmjoq7pufyvmcrc4">fatcat:hjb2nlg7pzbmjoq7pufyvmcrc4</a> </span>
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A Cost-Efficient 5G Non-Public Network Architectural Approach: Key Concepts and Enablers, Building Blocks and Potential Use Cases

Panagiotis Trakadas, Lambros Sarakis, Anastasios Giannopoulos, Sotirios Spantideas, Nikolaos Capsalis, Panagiotis Gkonis, Panagiotis Karkazis, Giovanni Rigazzi, Angelos Antonopoulos, Marta Amor Cambeiro, Sergio Gonzalez-Diaz, Luís Conceição
<span title="2021-08-19">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
In the same framework, potential applications of our proposed approach in real world scenarios (e.g., support of mission critical services and computer vision analytics for emergencies) are described.  ...  In this context, this paper introduces a 5G NPN architectural approach, supporting among others various key enabling technologies, such as cell densification, disaggregated RAN with open interfaces, edge  ...  Data Analytics and AI/ML-Based Network Optimization Data collection and analysis are of primary importance in 5G networks (both public and private) due to the increasing need for efficient monitoring and  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21165578">doi:10.3390/s21165578</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34451020">pmid:34451020</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8402263/">pmcid:PMC8402263</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fpi4xkobebdnvf4fqmhqsggjvu">fatcat:fpi4xkobebdnvf4fqmhqsggjvu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210825201930/https://res.mdpi.com/d_attachment/sensors/sensors-21-05578/article_deploy/sensors-21-05578.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d6/ed/d6ed1cee94dfbc583346eb1e08dbddbad5ab167d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21165578"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402263" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

SiEVE: Semantically Encoded Video Analytics on Edge and Cloud [article]

Tarek Elgamal, Shu Shi, Varun Gupta, Rittwik Jana, Klara Nahrstedt
<span title="2020-06-01">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Moreover, most of the video analytics systems leverage 2-tier architecture where the encoded video is sent to either a remote cloud or a private edge server but does not efficiently leverage both of them  ...  This happened in parallel with advances in edge computing where videos are analyzed over hierarchical clusters that contain edge devices, close to the video source.  ...  The edge device has Intel Core i7-5600 CPU with 12 GB of memory and the cloud server has Intel Xeon E5-1603 CPU with 32 GB of memory.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.01318v1">arXiv:2006.01318v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/be2kukxbtzgqzmltfqjv6m444m">fatcat:be2kukxbtzgqzmltfqjv6m444m</a> </span>
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