Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Minoo Hosseinzadeh"'
Publikováno v:
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8e588e7ec53b228b2bfd11db917448d
https://doi.org/10.1109/ccnc49033.2022.9700601
https://doi.org/10.1109/ccnc49033.2022.9700601
Publikováno v:
Hosseinzadeh, M, Wachal, A, Khamfroush, H & Lucani Rötter, D E 2022, QoS-Aware Priority-Based Task Offloading for Deep Learning Services at the Edge . in 2022 IEEE Annual Consumer Communications & Networking Conference (CCNC) . IEEE, Proceedings of the IEEE Consumer Communications and Networking Conference (CCNC), pp. 319-325, IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, United States, 08/01/2022 . https://doi.org/10.1109/CCNC49033.2022.9700676
Emerging Edge Computing~(EC) technology has shown promise for many delay-sensitive Deep Learning~(DL) based applications of smart cities in terms of improved Quality-of-Service~(QoS). EC requires judicious decisions which jointly consider the limited
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d2e48c08b45dbff3fd296cae0a5232e
https://pure.au.dk/portal/da/publications/qosaware-prioritybased-task-offloading-for-deep-learning-services-at-the-edge(75033ce2-d3c1-4fec-a2f5-ec322ee37f68).html
https://pure.au.dk/portal/da/publications/qosaware-prioritybased-task-offloading-for-deep-learning-services-at-the-edge(75033ce2-d3c1-4fec-a2f5-ec322ee37f68).html
Publikováno v:
Hosseinzadeh, M, Hudson, N, Zhao, X, Khamfroush, H & Lucani Rötter, D E 2021, Joint Compression and Offloading Decisions for Deep Learning Services in 3-Tier Edge Systems . in 2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) . IEEE, pp. 254-261, 2021 IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, DySPAN, Los Angeles, United States, 13/12/2021 . https://doi.org/10.1109/DySPAN53946.2021.9677398
Task offloading in edge computing infrastructure remains a challenge for dynamic and complex environments, such as Industrial Internet-of-Things. The hardware resource constraints of edge servers must be explicitly considered to ensure that system re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19ebe7d763bb732d81af9158aeeb421b
https://doi.org/10.1109/dyspan53946.2021.9677398
https://doi.org/10.1109/dyspan53946.2021.9677398
Publikováno v:
Zhao, X, Hosseinzadeh, M, Hudson, N, Khamfroush, H & Lucani, D E 2020, Improving the Accuracy-Latency Trade-off of Edge-Cloud Computation Offloading for Deep Learning Services . in 2020 IEEE Globecom Workshops, GC Wkshps 2020-Proceedings ., 367470, IEEE, 2020 IEEE Globecom Workshops, GC Wkshps 2020-Proceedings, 2020 IEEE Globecom Workshops, GC Wkshps 2020, Virtual, Taipei, Taiwan, 07/12/2020 . https://doi.org/10.1109/GCWkshps50303.2020.9367470
GLOBECOM (Workshops)
Zhao, X, Hosseinzadeh, M, Hudson, N, Khamfroush, H & Lucani Rötter, D E 2020, Improving the Accuracy-Latency Trade-off of Edge-Cloud Computation Offloading for Deep Learning Services . in 2020 IEEE Globecom Workshops, GC Wkshps 2020-Proceedings ., 367470, IEEE, 2020 IEEE Globecom Workshops, GC Wkshps 2020-Proceedings, 2020 IEEE Globecom Workshops, GC Wkshps 2020, Virtual, Taipei, Taiwan, 07/12/2020 . https://doi.org/10.1109/GCWkshps50303.2020.9367470, https://doi.org/10.1109/GCWkshps50303.2020.9367470
GLOBECOM (Workshops)
Zhao, X, Hosseinzadeh, M, Hudson, N, Khamfroush, H & Lucani Rötter, D E 2020, Improving the Accuracy-Latency Trade-off of Edge-Cloud Computation Offloading for Deep Learning Services . in 2020 IEEE Globecom Workshops, GC Wkshps 2020-Proceedings ., 367470, IEEE, 2020 IEEE Globecom Workshops, GC Wkshps 2020-Proceedings, 2020 IEEE Globecom Workshops, GC Wkshps 2020, Virtual, Taipei, Taiwan, 07/12/2020 . https://doi.org/10.1109/GCWkshps50303.2020.9367470, https://doi.org/10.1109/GCWkshps50303.2020.9367470
Offloading tasks to the edge or the Cloud has the potential to improve accuracy of classification and detection tasks as more powerful hardware and machine learning models can be used. The downside is the added delay introduced for sending the data t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::560be163e58b1c3c0146d528d1c2209e
https://pure.au.dk/portal/da/publications/improving-the-accuracylatency-tradeoff-of-edgecloud-computation-offloading-for-deep-learning-services(ef275a27-8634-4b6d-865e-5efb92d94496).html
https://pure.au.dk/portal/da/publications/improving-the-accuracylatency-tradeoff-of-edgecloud-computation-offloading-for-deep-learning-services(ef275a27-8634-4b6d-865e-5efb92d94496).html
Publikováno v:
ICC
Hosseinzadeh, M, Wachal, A, Khamfroush, H & Lucani Rötter, D E 2021, Optimal Accuracy-Time Trade-off For Deep Learning Services in Edge Computing Systems . in ICC 2021-IEEE International Conference on Communications, Proceedings . IEEE, IEEE International Conference on Communications, 14/06/2021 . https://doi.org/10.1109/ICC42927.2021.9500744
Hosseinzadeh, M, Wachal, A, Khamfroush, H & Lucani Rötter, D E 2021, Optimal Accuracy-Time Trade-off For Deep Learning Services in Edge Computing Systems . in ICC 2021-IEEE International Conference on Communications, Proceedings . IEEE, IEEE International Conference on Communications, 14/06/2021 . https://doi.org/10.1109/ICC42927.2021.9500744
With the increasing demand for computationally intensive services like deep learning tasks, emerging distributed computing platforms such as edge computing (EC) systems are becoming more popular. Edge computing systems have shown promising results in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::440c3f4f0aa229f536d4575739508308
http://arxiv.org/abs/2011.08381
http://arxiv.org/abs/2011.08381
Publikováno v:
SmartGridComm
The emergence of modern monitoring, communication, computation, and control equipment into power systems has made them evolve into smart grids that can be thought of as the electric grid of things. This evolution has enhanced the efficiency of the po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::953839948a4e5f77923e33522e8cdb67
https://doi.org/10.1109/smartgridcomm47815.2020.9302936
https://doi.org/10.1109/smartgridcomm47815.2020.9302936
Publikováno v:
Procedia Computer Science. :255-262
This paper tries to model the code obfuscation as satisfiability problem. In this paper, we try to develop the model to represent the obfuscated code as the satisfiable problem which could be then checked by the SAT solver to check whether at certain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::031b0fc9ff878121b4352ce01a6ad224