Zobrazeno 1 - 10 of 100 pro vyhledávání: '"Daniel Hagimont"'
2
FlexVF: Adaptive network device services in a virtualized environment
Autor: Boris Teabe, Brice Ekane, Tu Dinh Ngoc, Noel De Palma, Daniel Hagimont
Publikováno v: Future Generation Computer Systems. 127:14-22
Single-root I/O virtualization (SR-IOV) allows virtual machines direct access to physical network cards through so-called virtual functions (VFs), considerably reducing networking overhead compared to paravirtualized interfaces by avoiding the hyperv
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e42255c760729133e0d8e5d430bcb766
https://doi.org/10.1016/j.future.2021.08.011
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3
Performance-efficient Recommendation and Prediction Service for Big Data frameworks focusing on Data Compression and In-memory Data Storage Indicators
Autor: Daniel Hagimont, Aram Kocharyan, Arthur Lalayan, Hrachya Astsatryan
Publikováno v: Scalable Computing: Practice and Experience. 22:401-412
The MapReduce framework manages Big Data sets by splitting the large datasets into a set of distributed blocks and processes them in parallel. Data compression and in-memory file systems are widely used methods in Big Data processing to reduce resour
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d38499f2520b2b5f4741e7effd1a0986
https://doi.org/10.12694/scpe.v22i4.1945
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4
Performance Optimization System for Hadoop and Spark Frameworks
Autor: Daniel Hagimont, Hrachya Astsatryan, Arthur Lalayan, Aram Kocharyan
Publikováno v: Cybernetics and Information Technologies. 20:5-17
The optimization of large-scale data sets depends on the technologies and methods used. The MapReduce model, implemented on Apache Hadoop or Spark, allows splitting large data sets into a set of blocks distributed on several machines. Data compressio
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fa6f77a5c82e446bb18688d362721c5
https://doi.org/10.2478/cait-2020-0056
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7
Cacol: A zero overhead and non-intrusive double caching mitigation system
Autor: Grégoire Todeschi, Alain Tchana, Boris Teabe, Daniel Hagimont
Publikováno v: Future Generation Computer Systems
Future Generation Computer Systems, Elsevier, 2020, 106, pp.14-21. ⟨10.1016/j.future.2019.11.035⟩
International audience; In a virtualized server, a page cache (which caches I/O data) is managed in both the hypervisor and the guest Operating System (OS). This leads to a well-known issue called double caching. Double caching is the presence of the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fc101d400a662551547092ef321935d
https://doi.org/10.1016/j.future.2019.11.035
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8
Preventing the propagation of a new kind of illegitimate apps
Autor: Alain Tchana, Giang Son Tran, Lavoisier Wapet, Daniel Hagimont
Publikováno v: Future Generation Computer Systems
Future Generation Computer Systems, Elsevier, 2019, 94, pp.368-380. ⟨10.1016/j.future.2018.11.051⟩
International audience; A significant amount of apps submitted to mobile market places (MMP) are illegitimate, resulting in a negative publicity for these MMPs. To our knowledge, all scanning solutions in this domain only focus on the detection of il
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ee0df20340056a7637238b96ab33653
https://doi.org/10.1016/j.future.2018.11.051
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9
Mitigating vulnerability windows with hypervisor transplant
Autor: Tu Dinh Ngoc, Alain Tchana, Boris Teabe, Gilles Muller, Daniel Hagimont
Publikováno v: EuroSys '21: Proceedings of the Sixteenth European Conference on Computer Systems
EuroSys 2021-European Conference on Computer Systems
EuroSys 2021-European Conference on Computer Systems, Apr 2021, Edinburgh / Virtual, United Kingdom. pp.1-14, ⟨10.1145/3447786.3456235⟩
EuroSys
International audience; The vulnerability window of a hypervisor regarding a given security flaw is the time between the identification of the flaw and the integration of a correction/patch in the running hypervisor. Most vulnerability windows, regar
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::771d444a957a264bdfc28955c9fb9558
https://hal.science/hal-03183856/document
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10
OFC
Autor: Bernabé Batchakui, Josiane Kouam, Kevin Nguetchouang, Alain Tchana, Timothy Wood, Daniel Hagimont, Jinho Hwang, Renaud Lachaize, Mathieu Bacou, Stéphane Pouget, Noel De Palma, Lucien Ngale, Djob Mvondo
Publikováno v: EuroSys
EuroSys '21: Proceedings of the Sixteenth European Conference on Computer Systems
EUROSYS 2021-16th European Conference on Computer Systems
EUROSYS 2021-16th European Conference on Computer Systems, Apr 2021, Edinburgh (online), United Kingdom. pp.228-244, ⟨10.1145/3447786.3456239⟩
International audience; Cloud applications based on the "Functions as a Service" (FaaS) paradigm have become very popular. Yet, due to their stateless nature, they must frequently interact with an external data store, which limits their performance.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0539efca2e33d25280284557c18d18bf
https://doi.org/10.1145/3447786.3456239
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