Results 251 to 260 of about 111,011 (272)
Some of the next articles are maybe not open access.
Kaa: Evaluating Elasticity of Cloud-Hosted DBMS
2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019Auto-scaling is able to change the scale of an application at runtime. Understanding the application characteristics, scaling impact as well as the workload, an auto-scaler aligns the acquired resources to match the current workload.
Daniel Seybold +5 more
semanticscholar +1 more source
Detecting Logic Bugs of Join Optimizations in DBMS
Proc. ACM Manag. Data, 2023Xiu Tang +4 more
semanticscholar +1 more source
Cloud storage availability and performance assessment: a study based on NoSQL DBMS
Journal of Supercomputing, 2021Carlos Gomes +3 more
semanticscholar +1 more source
In-DBMS Sampling-based Sub-trajectory Clustering
International Conference on Extending Database Technology, 2017N. Pelekis +4 more
semanticscholar +1 more source
Data modeling for analytical queries on document-oriented DBMS
ACM Symposium on Applied Computing, 2018R. A. S. N. Soransso, M. C. Cavalcanti
semanticscholar +1 more source
HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads
Proceedings of the VLDB Endowment, 2009A. Abouzeid +4 more
semanticscholar +1 more source
DBMS Data Loading: An Analysis on Modern Hardware
ADMS/IMDM@VLDB, 2016Adam Dziedzic +4 more
semanticscholar +1 more source
Detecting Anomalous Behavior in DBMS Logs
Crisis, 2016Muhammad Imran Khan, S. Foley
semanticscholar +1 more source
Logistic regression within DBMS
International Conferences on Contemporary Computing and Informatics, 2016J. Isaac, Sandhya Harikumar
semanticscholar +1 more source
DBMS on modern storage hardware
IEEE International Conference on Data Engineering, 2015Ilia Petrov +2 more
semanticscholar +1 more source