Zobrazeno 1 - 10
of 238
pro vyhledávání: '"KOSSMANN, DONALD"'
Autor:
Loos, Peter, Lechtenbörger, Jens, Vossen, Gottfried, Zeier, Alexander, Krüger, Jens, Müller, Jürgen, Lehner, Wolfgang, Kossmann, Donald, Fabian, Benjamin, Günther, Oliver, Winter, Robert
In-memory databases are developed to keep the entire data in main memory. Compared to traditional database systems, read access is now much faster since no I/O access to a hard drive is required. In terms of write access, mechanisms are available whi
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A83081
https://tud.qucosa.de/api/qucosa%3A83081/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A83081/attachment/ATT-0/
Autor:
Peter, Loos, Lechtenbörger, Jens, Vossen, Gottfried, Zeier, Alexander, Krüger, Jens, Müller, Jürgen, Lehner, Wolfgang, Kossmann, Donald, Fabian, Benjamin, Günther, Oliver, Winter, Robert
In-Memory-Datenbanken halten den gesamten Datenbestand permanent im Hauptspeicher vor. Somit können lesende Zugriffe weitaus schneller erfolgen als bei traditionellen Datenbanksystemen, da keine I/O-Zugriffe auf die Festplatte erfolgen müssen. Für
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A83051
https://tud.qucosa.de/api/qucosa%3A83051/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A83051/attachment/ATT-0/
Autor:
Yang, Zongheng, Chandramouli, Badrish, Wang, Chi, Gehrke, Johannes, Li, Yinan, Minhas, Umar Farooq, Larson, Per-Åke, Kossmann, Donald, Acharya, Rajeev
Corporations today collect data at an unprecedented and accelerating scale, making the need to run queries on large datasets increasingly important. Technologies such as columnar block-based data organization and compression have become standard prac
Externí odkaz:
http://arxiv.org/abs/2004.10898
Autor:
Ding, Jialin, Minhas, Umar Farooq, Yu, Jia, Wang, Chi, Do, Jaeyoung, Li, Yinan, Zhang, Hantian, Chandramouli, Badrish, Gehrke, Johannes, Kossmann, Donald, Lomet, David, Kraska, Tim
Recent work on "learned indexes" has changed the way we look at the decades-old field of DBMS indexing. The key idea is that indexes can be thought of as "models" that predict the position of a key in a dataset. Indexes can, thus, be learned. The ori
Externí odkaz:
http://arxiv.org/abs/1905.08898
Autor:
Antonopoulos, Panagiotis, Arasu, Arvind, Eguro, Ken, Hammer, Joachim, Kaushik, Raghav, Kossmann, Donald, Ramamurthy, Ravi, Szymaszek, Jakub
Encrypted databases have been studied for more than 10 years and are quickly emerging as a critical technology for the cloud. The current state of the art is to use property-preserving encrypting techniques (e.g., deterministic encryption) to protect
Externí odkaz:
http://arxiv.org/abs/1809.02631
In the last decade, many business applications have moved into the cloud. In particular, the "database-as-a-service" paradigm has become mainstream. While existing multi-tenant data management systems focus on single-tenant query processing, we belie
Externí odkaz:
http://arxiv.org/abs/1703.04290
We study the problem of troubleshooting machine learning systems that rely on analytical pipelines of distinct components. Understanding and fixing errors that arise in such integrative systems is difficult as failures can occur at multiple points in
Externí odkaz:
http://arxiv.org/abs/1611.08309
We study online graph queries that retrieve nearby nodes of a query node from a large network. To answer such queries with high throughput and low latency, we partition the graph and process the data in parallel across a cluster of servers. State-of-
Externí odkaz:
http://arxiv.org/abs/1611.03959