Výsledky vyhledávání - "da Silva Veith, Alexandre"

Dissertation/ Thesis

Quality of Service Aware Mechanisms for (Re)Configuring Data Stream Processing Applications on Highly Distributed Infrastructure

Autor: Da Silva Veith, Alexandre

Une grande partie de ces données volumineuses ont plus de valeur lorsqu'elles sont analysées rapidement, au fur et à mesure de leur génération. Dans plusieurs scénarios d'application émergents, tels que les villes intelligentes, la surveillanc

Externí odkaz: http://www.theses.fr/2019LYSEN050/document

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Akademický článek

Distributed data stream processing and edge computing: A survey on resource elasticity and future directions

Autor: Dias de Assunção, Marcos, da Silva Veith, Alexandre, Buyya, Rajkumar

Publikováno v: In Journal of Network and Computer Applications 1 February 2018 103:1-17

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Latency-Aware Strategies for Placing Data Stream Analytics onto Edge Computing

Autor: da Silva Veith, Alexandre, Dias de Assuncao, Marcos, Lefèvre, Laurent

Publikováno v: HotEdge'18-USENIX Workshop on Hot Topics in Edge Computing
HotEdge'18-USENIX Workshop on Hot Topics in Edge Computing, Jul 2018, Boston, United States. pp.1, 2018

International audience; Much of the "big data" generated today is received in near real-time and requires quick analysis. In Internet of Things (IoT) [1, 9], for instance, continuous data streams produced by multiple sources must be handled under ver

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f4d9573f1491ebec316637f81de3ca05
https://inria.hal.science/hal-01875999

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Mécanismes prenant en compte la qualité de service pour la (re)configuration d’applications de traitement de flux de données sur une infrastructure hautement distribuée

Autor: da Silva Veith, Alexandre

Publikováno v: Distributed, Parallel, and Cluster Computing [cs.DC]. Université de Lyon, 2019. English. ⟨NNT : 2019LYSEN050⟩

A large part of this big data is most valuable when analysed quickly, as it is generated. Under several emerging application scenarios, such as in smart cities, operational monitoring of large infrastructure, and Internet of Things (IoT), continuous

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::66e1bd7456d31392c85a8f33f51bd1e6
https://hal.inria.fr/tel-02385744v2/file/DA_SILVA_VEITH_Alexandre_2019LYSEN050_These.pdf

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Assessing the Impact of Network Bandwidth and Operator Placement on Data Stream Processing for Edge Computing Environments

Autor: da Silva Veith, Alexandre, Dias de Assuncao, Marcos, Lefèvre, Laurent

Publikováno v: COMPAS'2017-Conférence d’informatique en Parallélisme, Architecture et Système
COMPAS'2017-Conférence d’informatique en Parallélisme, Architecture et Système, Jun 2017, Antibes, France

National audience; A substantial part of the " big data " generated today is received in near real time and must be promptly processed. Cloud-based architectures for data stream processing comprise multiple software modules or frameworks for data col

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::39a9ef9af622bbfae941c60f64adff8d
https://hal.archives-ouvertes.fr/hal-01574448/document

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Strategies for Big Data Analytics through Lambda Architectures in Volatile Environments

Autor: da Silva Veith, Alexandre, C. S. dos Anjos, Julio, Pignaton De Freitas, Edison, Lampoltshammer, Thomas, Geyer, Claudio

Publikováno v: IFAC
IFAC, Nov 2016, Porto Alegre, Brazil. pp.114-119

International audience; Expectations regarding the future growth of Internet of Things (IoT)-related technologies are high. These expectations require the realization of a sustainable general purpose application framework that is capable to handle th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::703447cfe3e65037103a6ed64b229d59

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Latency-Aware Placement of Data Stream Analytics on Edge Computing

Autor: Marcos Dias De Assuncao, Laurent Lefèvre, Alexandre da Silva Veith

Publikováno v: International Conference Service-Oriented Computing
Service-Oriented Computing
Service-Oriented Computing, Nov 2018, Hangzhou, Zhejiang, China. pp.215-229
Service-Oriented Computing ISBN: 9783030035952
ICSOC

International audience; The interest in processing data events under stringent time constraints as they arrive has led to the emergence of architecture and engines for data stream processing. Edge computing, initially designed to minimize the latency

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de305c1684e76b8cd3fc04a62fb258d9
https://hal.inria.fr/hal-01875936/file/icsoc_2018.pdf

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