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pro vyhledávání: '"Robin Rehrmann"'
Publikováno v:
Proceedings of the VLDB Endowment. 13:1696-1708
OLTP applications are usually executed by a high number of clients in parallel and are typically faced with high throughput demand as well as a constraint latency requirement for individual statements. Interestingly, OLTP workloads are often read-hea
Autor:
Amr Rizk, Florin Ciucu, Heinz Koeppl, Bastian Alt, Robin Rehrmann, Sounak Kar, Carsten Binnig, Arpan Mukhopadhyay
We analyze a data-processing system with $n$ clients producing jobs which are processed in \textit{batches} by $m$ parallel servers; the system throughput critically depends on the batch size and a corresponding sub-additive speedup function. In prac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::601fff44ca29d53f6e3b28bc82874218
Publikováno v:
DBTest@SIGMOD
OLTP DBMSs in enterprise scenarios are often facing the challenge to deal with workload peaks resulting from events such as Cyber Monday or Black Friday. The traditional solution to prevent running out of resources and thus coping with such workload
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319776095
ARCS
ARCS
Employing algorithms of scientific computing often comes in hand with finding a trade-off between accuracy and performance. Novel parallel hardware and algorithms only slightly improve these issues due to the increasing size of the problems. While hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecbfd2d70b55463763b4f5fb256b3a73
https://doi.org/10.1007/978-3-319-77610-1_22
https://doi.org/10.1007/978-3-319-77610-1_22
Publikováno v:
EDBT/ICDT Workshops
With the rise of cloud-computing and cloud-scale data management the importance of shipping the code of an application to its data has increased tremendously. Especially when offering data analytics on top of traditional relational databases as a ser