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VEDLIoT: Very Efficient Deep Learning in IoT

Autor: Kaiser, Martin, Griessl, René, Kucza, Nils, Haumann, Carola, Tigges, Lennart, Mika, Kevin, Hagemeyer, Jens, Porrmann, Florian, Rückert, Ulrich, vor dem Berge, M., Krupop, S., Porrmann, M., Tassemeier, M., Trancoso, P., Qararyah, F., Zouzoula, S., Casimiro, A., Bessani, A., Cecilio, J., Andersson, S., Brunnegard, O., Eriksson, O., Weiss, R., Mcierhofer, F., Salomonsson, H., Malekzadeh, E., Odman, D., Khurshid, A., Felber, P., Pasin, M., Schiavoni, V., Menetrey, J., Gugala, K., Zierhoffer, P., Knauss, E., Heyn, H., ARRAY(0xab8ee90)

Publikováno v: 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Automation & Test in Europe Conference & Exhibition (DATE)

The VEDLIoT project targets the development of energy-efficient Deep Learning for distributed AIoT applications. A holistic approach is used to optimize algorithms while also dealing with safety and security challenges. The approach is based on a mod

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1523eec0d517cbef17a1f05d10395b39
https://doi.org/10.23919/date54114.2022.9774653

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TailX: Scheduling Heterogeneous Multiget Queries to Improve Tail Latencies in Key-Value Stores

Autor: Jaiman, Vikas, Mokhtar, Sonia Ben, Rivière, Etienne, Remke, A., Schiavoni, V.

Publikováno v: 20th International Conference on Distributed Applications and Interoperable Systems
20th International Conference on Distributed Applications and Interoperable Systems, Jun 2020, Valletta, Malta. pp.73-92, ⟨10.1007/978-3-030-50323-9_5⟩
Distributed Applications and Interoperable Systems
Distributed Applications and Interoperable Systems ISBN: 9783030503222
DAIS
Distributed Applications and Interoperable Systems. DAIS 2020, 73-92
STARTPAGE=73;ENDPAGE=92;TITLE=Distributed Applications and Interoperable Systems. DAIS 2020

International audience; Users of interactive services such as e-commerce platforms have high expectations for the performance and responsiveness of these services. Tail latency, denoting the worst service times, contributes greatly to user dissatisfa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65fd1b780f0c6f228e46454bdd0162be
https://hal.archives-ouvertes.fr/hal-02917566/document

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