Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Djahida Belayadi"'
Publikováno v:
Advances in Computing Systems and Applications ISBN: 9783319983516
We address load balancing and data locality problems in Hadoop. These two problems limit its performance, especially, during a reduce phase where the partitioning function assigns the keys to the reducers based on a hash function. We propose in this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0298569870c9283eb3b39f7aec41b165
https://doi.org/10.1007/978-3-319-98352-3_29
https://doi.org/10.1007/978-3-319-98352-3_29
Publikováno v:
Advances in Computing Systems and Applications ISBN: 9783319983516
One of the important issues in range partitioning schemes is data skew. Tuples distribution across nodes may be skewed (some nodes have many tuples, while others may have fewer tuples). Processing skewed data not only slows down the response time, bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::671685e3f5eca281b317b34faffc8c37
https://doi.org/10.1007/978-3-319-98352-3_30
https://doi.org/10.1007/978-3-319-98352-3_30
Publikováno v:
2018 International Symposium on Programming and Systems (ISPS).
Data skew can significantly deteriorate query performance in distributed systems. More concretely, when the data is range partitioned, usually it may be unequally distributed across the partitions. When tuples are inserted and deleted continuously, s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b71b262cd4337563cdc79a6833b7a191
https://doi.org/10.1109/isps.2018.8379005
https://doi.org/10.1109/isps.2018.8379005
Publikováno v:
Computer Science and Information Systems
Computer Science and Information Systems, ComSIS Consortium, 2018, 15 (2), ⟨10.2298/CSIS170320007B⟩
Computer Science and Information Systems, ComSIS Consortium, 2018, 15 (2), ⟨10.2298/CSIS170320007B⟩
Modern database systems can achieve high throughput main-memory query execution by being aware of the dynamics of highly parallel hardware. In such systems, data is partitioned into smaller pieces to reach a better parallelism. Unfortunately, data sk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fb85833471a4f1663e46199c64a8b0d
https://hal.archives-ouvertes.fr/hal-03204288
https://hal.archives-ouvertes.fr/hal-03204288
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319988115
DEXA (2)
DEXA (2)
Due to the availability of larger RAM capacity, there is a new trend bringing parallel main memory database systems with higher performance, compared to traditional DBMSs. In parallel database systems the most critical aspect is data partitioning, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56b705b03afb50692d7accbb5425a6ac
https://doi.org/10.1007/978-3-319-98812-2_20
https://doi.org/10.1007/978-3-319-98812-2_20
Autor:
Walid Hidouci, Djahida Belayadi
Publikováno v:
UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld
Our last decade has experienced significant growth in terms of data generated by billions of people connected to the Internet. Recent prognoses about Big Data, Internet of Thing, Cloud Computing show growing demand for an efficient processing of huge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f328bf22092436125ddfc8c139e40868
https://doi.org/10.1109/uic-atc-scalcom-cbdcom-iop-smartworld.2016.0185
https://doi.org/10.1109/uic-atc-scalcom-cbdcom-iop-smartworld.2016.0185
Publikováno v:
International Journal of Computational Linguistics Research. 9:135
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d90f4e7bd2b4d5cb00d5887ead882a5
https://doi.org/10.6025/jcl/2018/9/4/135-147
https://doi.org/10.6025/jcl/2018/9/4/135-147