Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Darko Makreshanski"'
Publikováno v:
The VLDB Journal. 27:669-692
Database architectures typically process queries one at a time, executing concurrent queries in independent execution contexts. Often, such a design leads to unpredictable performance and poor scalability. One approach to circumvent the problem is to
Publikováno v:
Proceedings of the VLDB Endowment. 9:480-491
Database architectures typically process queries one-at-a-time, executing concurrent queries in independent execution contexts. Often, such a design leads to unpredictable performance and poor scalability. One approach to circumvent the problem is to
Publikováno v:
SoCC '18: Proceedings of the ACM Symposium on Cloud Computing
SoCC
SoCC
Cloud-based data analysis is nowadays common practice because of the lower system management overhead as well as the pay-as-you-go pricing model. The pricing model, however, is not always suitable for query processing as heavy use results in high cos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2703440a3e871435354ffdbe6da5fc11
Publikováno v:
ACM SIGMOD 2017
SIGMOD Conference
SIGMOD Conference
In this paper we present BatchDB, an in-memory database engine designed for hybrid OLTP and OLAP workloads. BatchDB achieves good performance, provides a high level of data freshness, and minimizes load interaction between the transactional and analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a73670732788b4bbb04cf62c669bdba4
http://hdl.handle.net/10044/1/64226
http://hdl.handle.net/10044/1/64226
Publikováno v:
Proceedings of the VLDB Endowment. 7:429-440
As a result of increases in both the query load and the data managed, as well as changes in hardware architecture (multicore), the last years have seen a shift from query-at-a-time approaches towards shared work (SW) systems where queries are execute
Publikováno v:
SIGMOD Conference
This demonstration presents SharedDB, an implementation of a relational database system capable of executing all SQL operators by sharing computation and resources across all running queries. SharedDB sidesteps the traditional query-at-a-time approac