Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Kantere, Verena"'
Learning representations for query plans play a pivotal role in machine learning-based query optimizers of database management systems. To this end, particular model architectures are proposed in the literature to transform the tree-structured query
Externí odkaz:
http://arxiv.org/abs/2405.04814
Query optimizers in relational database management systems (RDBMSs) search for execution plans expected to be optimal for a given queries. They use parameter estimates, often inaccurate, and make assumptions that may not hold in practice. Consequentl
Externí odkaz:
http://arxiv.org/abs/2401.15210
Autor:
Katsaragakis, Manolis, Baloukas, Christos, Papadopoulos, Lazaros, Kantere, Verena, Catthoor, Francky, Soudris, Dimitrios
The Intel Optane DC Persistent Memory (DCPM) is an attractive novel technology for building storage systems for data intensive HPC applications, as it provides lower cost per byte, low standby power and larger capacities than DRAM, with comparable la
Externí odkaz:
http://arxiv.org/abs/2304.00953
Autor:
Tsiatsianis, Georgios Christos, Chan, Candace S.Y., Mouratidis, Ioannis, Chantzi, Nikol, Tsiatsiani, Anna Maria, Yee, Nelson S., Zaravinos, Apostolos, Kantere, Verena, Georgakopoulos-Soares, Ilias
Publikováno v:
In European Journal of Cancer January 2024 196
Modern large-scale computing deployments consist of complex applications running over machine clusters. An important issue in these is the offering of elasticity, i.e., the dynamic allocation of resources to applications to meet fluctuating workload
Externí odkaz:
http://arxiv.org/abs/1702.02978
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Kantere, Verena
Recent technology breakthroughs have enabled data collection of unprecedented scale, rate, variety and complexity that has led to an explosion in data management requirements. Existing theories and techniques are not adequate to fulfil these requirem
Externí odkaz:
http://arxiv.org/abs/1312.0156
Publikováno v:
IDEAS 2022-International Database Engineered Applications Symposium
IDEAS 2022-International Database Engineered Applications Symposium, Aug 2022, Budapest, Hungary
IDEAS 2022-International Database Engineered Applications Symposium, Aug 2022, Budapest, Hungary
International audience
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
International Conference on Extending Database Technology (EDBT)
International Conference on Extending Database Technology (EDBT), Mar 2022, Virtual, United Kingdom. ⟨10.48786/edbt.2022.58⟩
International Conference on Extending Database Technology (EDBT), Mar 2022, Virtual, United Kingdom. ⟨10.48786/edbt.2022.58⟩
International audience; During the last 10 years, the volume of global data has risen more than tenfold. The commercial rise of cloud computing eased the process of storing, processing and managing big data. Recently, the cloud evolved with the emerg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::cc486fd4d3a13bedf877ad7ffabc61e7
https://hal.inria.fr/hal-03925696
https://hal.inria.fr/hal-03925696