Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Kenneth Salem"'
Autor:
Kenneth Salem, Alexey Karyakin
Publikováno v:
Proceedings of the VLDB Endowment. 12:1499-1512
Memory can consume a substantial amount of power in database servers, yet memory power has received considerably less attention than CPU power. Memory power consumption is also highly non-proportional. Thus, memory power becomes even more significant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7558eaa13e5c3d4f6437e52ce0931258
https://doi.org/10.14778/3342263.33422629
https://doi.org/10.14778/3342263.33422629
Publikováno v:
ICDE
Database design is critical for high performance in relational databases and a myriad of tools exist to aid application designers in selecting an appropriate schema. While the problem of schema optimization is also highly relevant for NoSQL databases
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d65e1bfcee986302626f54a80e403859
https://doi.org/10.1109/tkde.2017.2722412
https://doi.org/10.1109/tkde.2017.2722412
Autor:
Peter Boncz, Kenneth Salem
Publikováno v:
The VLDB Journal. 29:483-484
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd2d7dc3f28f81460a152280f1fbad32
https://doi.org/10.1007/s00778-019-00600-w
https://doi.org/10.1007/s00778-019-00600-w
Autor:
Linguan Yang, Hongbo Zhang, Bernard Wong, Kenneth Salem, Xiayue Charles Lin, Tim Brecht, Xinan Yan
Publikováno v:
SIGMOD Conference
The trend towards global applications and services has created an increasing demand for transaction processing on globally-distributed data. Many database systems, such as Spanner and CockroachDB, support distributed transactions but require a large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56d67520edef0e1f944fb17bf0e2c305
https://doi.org/10.1145/3183713.3196912
https://doi.org/10.1145/3183713.3196912
Publikováno v:
SIGMOD Conference
Natural short term fluctuations in the load of transactional data systems present an opportunity for power savings. For example, a system handling 1000 requests per second on average can expect more than 1000 requests in some seconds, fewer in others
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbf771413cc4f4329ed9fd5d1c7149b9
https://doi.org/10.1145/3183713.3196901
https://doi.org/10.1145/3183713.3196901
Autor:
Kenneth Salem, Michael J. Mior
Publikováno v:
Conceptual Modeling ISBN: 9783030008468
ER
ER
NoSQL applications often use denormalized databases in order to meet performance goals, but this introduces complications as the database itself has no understanding of application-level denormalization. In this paper, we describe a procedure for rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::180b1847559401b48ea9dacf5dcaeb08
https://doi.org/10.1007/978-3-030-00847-5_34
https://doi.org/10.1007/978-3-030-00847-5_34
Autor:
Kenneth Salem, Alexey Karyakin
Publikováno v:
DaMoN
The growing appetite for in-memory computing is increasing memory's share of total server power consumption. However, memory power consumption in database management systems is not well understood. This paper presents an empirical characterization of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b4c36f99ccb4eaa1d0b1990b6c26504
https://doi.org/10.1145/3076113.3076117
https://doi.org/10.1145/3076113.3076117
Autor:
Kenneth Salem
Publikováno v:
Encyclopedia of Database Systems ISBN: 9781489979933
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9490b922c73fd61b6872299a488b1586
https://doi.org/10.1007/978-1-4899-7993-3_724-2
https://doi.org/10.1007/978-1-4899-7993-3_724-2
Autor:
Kenneth Salem, Marco Serafini, Taha Rafiq, Ashraf Aboulnaga, Essam Mansour, Umar Farooq Minhas
Publikováno v:
Proceedings of the VLDB Endowment. 7:1035-1046
Providing the ability to elastically use more or fewer servers on demand (scale out and scale in) as the load varies is essential for database management systems (DBMSes) deployed on today's distributed computing platforms, such as the cloud. This re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d9009be0f65cf3d3ef14706b0a5ae57
https://doi.org/10.14778/2732977.2732979
https://doi.org/10.14778/2732977.2732979