Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Stanley B. Zdonik"'
Autor:
Bill Howe, David Maier, Magdalena Balazinska, Samuel Madden, Jennie Duggan, Timothy G. Mattson, Manasi Vartak, Jeremy Kepner, Uǧur Çetintemel, Nesime Tatbul, Michael Stonebraker, Vijay Gadepally, Stavros Papadopoulos, Stanley B. Zdonik, Jeffrey Heer, Aaron J. Elmore, Jeff Parkhurst, Tim Kraska
Publikováno v:
other univ website
This paper presents BigDAWG, a reference implementation of a new architecture for "Big Data" applications. Such applications not only call for large-scale analytics, but also for real-time streaming support, smaller analytics at interactive speeds, d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dd75140dd4569e473e3cb50482298c9
https://doi.org/10.14778/2824032.2824098
https://doi.org/10.14778/2824032.2824098
Autor:
David Maier, Ugur Cetintemel, John Meehan, Erik Sutherland, Nesime Tatbul, Samuel Madden, Tim Kraska, Michael Stonebraker, Kristin Tufte, Andrew Pavlo, Hao Wang, Jiang Du, Stanley B. Zdonik
Publikováno v:
MIT web domain
First-generation streaming systems did not pay much attention to state management via ACID transactions (e.g., [3, 4]). S-Store is a data management system that combines OLTP transactions with stream processing. To create S-Store, we begin with H-Sto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::864da13cd602d1359b08060f73c5811b
https://doi.org/10.14778/2733004.2733048
https://doi.org/10.14778/2733004.2733048
Autor:
Jeff Parkhurst, Kshitij A. Doshi, Lin Ma, Joy Arulraj, Michael Giardino, Stanley B. Zdonik, Subramanya R. Dulloor, Andrew Pavlo, Jason L. Gardner, Sam Zhao
Publikováno v:
DaMoN
In-memory database management systems (DBMSs) outperform disk-oriented systems for on-line transaction processing (OLTP) workloads. But this improved performance is only achievable when the database is smaller than the amount of physical memory avail
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85f92c78d498d2028b1173e299acb275
https://doi.org/10.1145/2933349.2933358
https://doi.org/10.1145/2933349.2933358
Publikováno v:
MIT web domain
Uncertain data management has received growing attention from industry and academia. Many efforts have been made to optimize uncertain databases, including the development of special index data structures. However, none of these efforts have explored
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c76bff39907b83bc1b5119d3c2dd79e5
https://doi.org/10.14778/1920841.1920922
https://doi.org/10.14778/1920841.1920922
Autor:
D. L. Wang, Samuel Madden, B. Heath, Jacek Becla, Pavel Velikhov, Jignesh M. Patel, Philippe Cudré-Mauroux, Magdalena Balazinska, R. Simakov, David J. DeWitt, David Maier, Emad Soroush, K.-T. Lim, Michael Stonebraker, Jennie Rogers, Hideaki Kimura, Stanley B. Zdonik
Publikováno v:
Proceedings of the VLDB Endowment. 2:1534-1537
In CIDR 2009, we presented a collection of requirements for SciDB, a DBMS that would meet the needs of scientific users. These included a nested-array data model, science-specific operations such as regrid, and support for uncertainty, lineage, and n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28376442b0d6cd8e8b2f438b11d854c5
https://doi.org/10.14778/1687553.1687584
https://doi.org/10.14778/1687553.1687584
Publikováno v:
Other repository
In relational query processing, there are generally two choices for access paths when performing a predicate lookup for which no clustered index is available. One option is to use an unclustered index. Another is to perform a complete sequential scan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b4af38f515dad657337b86c110ea846
https://doi.org/10.14778/1687627.1687765
https://doi.org/10.14778/1687627.1687765
Autor:
Hideaki Kimura, Yang Zhang, Michael Stonebraker, John Hugg, Samuel Madden, Andrew Pavlo, Alexander Rasin, Evan P. C. Jones, Stanley B. Zdonik, Daniel J. Abadi, Robert Kallman, Jonathan Natkins
Publikováno v:
Proceedings of the VLDB Endowment. 1:1496-1499
Our previous work has shown that architectural and application shifts have resulted in modern OLTP databases increasingly falling short of optimal performance [10]. In particular, the availability of multiple-cores, the abundance of main memory, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d25a2d97f395e0c352721e9be557fae
https://doi.org/10.14778/1454159.1454211
https://doi.org/10.14778/1454159.1454211
Publikováno v:
IEEE Personal Communications. 8:32-38
Mobile devices need two basic renewable resources - power and data. Power recharging is easy; data recharging is a much more problematic activity. It requires complex interaction between a user and a collection of data sources. We provide an automati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f71d96277748b48e647dba3d25855bf7
https://doi.org/10.1109/98.944001
https://doi.org/10.1109/98.944001
Autor:
Mitch Cherniack, Stanley B. Zdonik
Publikováno v:
SIGMOD Conference
Rule-based optimizers and optimizer generators use rules to specify query transformations. Rules act directly on query representations, which typically are based on query algebras. But most algebras complicate rule formulation, and rules over these a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d61a51741d7abc6d73ec489af25a065
https://doi.org/10.1145/235968.233356
https://doi.org/10.1145/235968.233356
Publikováno v:
SIGMOD Conference
The advent of affordable, shared-nothing computing systems portends a new class of parallel database management systems (DBMS) for on-line transaction processing (OLTP) applications that scale without sacrificing ACID guarantees [7, 9]. The performan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84ca90e6f94cb0229db17ae64e2ed455
https://doi.org/10.1145/2213836.2213844
https://doi.org/10.1145/2213836.2213844