Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Paulo Vinicius Cardoso"'
Publikováno v:
XXXVIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos
XXXVIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, Dec 2020, Rio de Janeiro, Brazil. pp.29-42, ⟨10.5753/sbrc.2020.12271⟩
SBRC
XXXVIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, Dec 2020, Rio de Janeiro, Brazil. pp.29-42, ⟨10.5753/sbrc.2020.12271⟩
SBRC
O Apache Spark é uma plataforma voltada ao processamento distribuído de dados em memória. Para uma persistência confiável e tolerante a falhas, o Spark usa a técnica de checkpoint. O estabelecimento de checkpoints, entretanto, precisa ser reali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51939b1fc4e1b08e54bd3be6511b71ca
https://hal.archives-ouvertes.fr/hal-03128058
https://hal.archives-ouvertes.fr/hal-03128058
Publikováno v:
ICSA
2020 IEEE International Conference on Software Architecture (ICSA)
2020 IEEE International Conference on Software Architecture (ICSA), Mar 2020, Salvador, Brazil. pp.1-10, ⟨10.1109/ICSA47634.2020.00009⟩
2020 IEEE International Conference on Software Architecture (ICSA)
2020 IEEE International Conference on Software Architecture (ICSA), Mar 2020, Salvador, Brazil. pp.1-10, ⟨10.1109/ICSA47634.2020.00009⟩
International audience; The Checkpoint and Recovery (CR) technique is widely used due to its fault tolerance efficiency. The Apache Hadoop framework uses this technique as a way to avoid failures in its distributed file system. However, determining t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca97cc4aa98861ad883562fef2ca01a3
https://doi.org/10.1109/icsa47634.2020.00009
https://doi.org/10.1109/icsa47634.2020.00009
Publikováno v:
IX Simpósio Brasileiro de Engenharia de Sistemas Computacionais
IX Simpósio Brasileiro de Engenharia de Sistemas Computacionais, Nov 2019, Natal, RN, Brazil. pp.31-38, ⟨10.5753/sbesc_estendido.2019.8632⟩
IX Simpósio Brasileiro de Engenharia de Sistemas Computacionais, Nov 2019, Natal, RN, Brazil. pp.31-38, ⟨10.5753/sbesc_estendido.2019.8632⟩
International audience; A replicação de dados é um dos principais mecanismos de tolerância a falhas utilizados pelo HDFS. Porém, a forma de posicionamento das réplicas entre os nodos computacionais afeta diretamente o balanceamento e o desempen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30638298b0af6da6611a1ffe87a22d48
https://hal.archives-ouvertes.fr/hal-02413742
https://hal.archives-ouvertes.fr/hal-02413742
Publikováno v:
2019 9th Latin-American Symposium on Dependable Computing (LADC)
2019 9th Latin-American Symposium on Dependable Computing (LADC), Nov 2019, Natal, Brazil. pp.1-6, ⟨10.1109/LADC48089.2019.8995674⟩
LADC
2019 9th Latin-American Symposium on Dependable Computing (LADC), Nov 2019, Natal, Brazil. pp.1-6, ⟨10.1109/LADC48089.2019.8995674⟩
LADC
International audience; Over time, the data distribution across an HDFS cluster may become unbalanced. The HDFS Balancer is a tool provided by Apache Hadoop that redistributes blocks by moving them from nodes with higher utilization to nodes with low
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad4547338636a6a477f49dac6135e05b
https://hal.archives-ouvertes.fr/hal-03089766
https://hal.archives-ouvertes.fr/hal-03089766
Publikováno v:
SBRC
O framework Apache Hadoop, usado para processar e armazenar grandes quantidades de dados, usa a técnica de Checkpoint and Recovery para auxiliar em recuperações pós-falha de seu sistema de arquivos distribuído. Porém, adaptações eficientes pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3395fac5c694b9e1f4ab79585b3bb0cc
https://doi.org/10.5753/sbrc.2019.7384
https://doi.org/10.5753/sbrc.2019.7384
Publikováno v:
SCCC
The increasingly robust High Performance Computing (HPC) systems have promoted many researches on fault tolerance mechanisms. However, the efficiency of these techniques is an important challenge, as the data and resources demand is also getting high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::267065bb07e737c218a63c6b285d918e
https://doi.org/10.1109/sccc.2018.8705152
https://doi.org/10.1109/sccc.2018.8705152
Publikováno v:
SRDS
Towards a scenario where failures on large-scale systems are inevitable, fault tolerant mechanisms must be efficiently applied. Checkpoint is a widely used technique that consists in saving data states for a fast recovery in case of failure. On Apach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e89b6f6c15e78e9dafeb24338ff46c46
https://doi.org/10.1109/srds.2018.00041
https://doi.org/10.1109/srds.2018.00041
Publikováno v:
SRDS
Fault tolerant mechanisms are essential to provide reliable feature for distributed systems. Checkpoint and Recovery is a widely used technique that consists on saving data states for a fast recovery in case of failure. On Apache Hadoop and Apache Sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40aea7dadd23d4fce7e0d29ac9528604
https://doi.org/10.1109/srds.2018.00038
https://doi.org/10.1109/srds.2018.00038
Publikováno v:
WSCAD
The growth of reliability problems on high performance systems has motivated searches for fault tolerance mechanisms. The Apache Hadoop framework, created to store and process large amounts of data, implements Checkpoint and Recovery to help on recov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1bf32e1d50dcf4f021a3ce778a37445
https://doi.org/10.1109/wscad.2018.00035
https://doi.org/10.1109/wscad.2018.00035
Publikováno v:
LATS
New computational paradigms have created data intensive applications which have a demand for efficient and reliable processing platforms. High performance systems, used to answer this demand, have a increasing number of components such as nodes and c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::645a1535ba4f34c4888d465105d719b5
https://doi.org/10.1109/latw.2018.8347240
https://doi.org/10.1109/latw.2018.8347240