Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Sören Henning"'
Autor:
Sören Henning, Torsten Graupner, Thomas Krassmann, Hans-Eike Gäbler, Simon Goldmann, Jolanta Kus, Peter Onuk
Publikováno v:
The Canadian Mineralogist. 60:881-912
The increasing demand for high-tech trace elements supports the need for systematic investigations of their primary occurrences. Mineralogy and trace element characteristics of hydrothermal base-metal veins from the Ruhr Basin (Ruhrgebiet) and the Rh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::424368d06a591b103efb5684e829bfcd
https://doi.org/10.3749/canmin.2100053
https://doi.org/10.3749/canmin.2100053
Autor:
Sören Henning
Cloud-native applications constitute a recent trend for designing large-scale software systems. This thesis introduces the Theodolite benchmarking method, allowing researchers and practitioners to conduct empirical scalability evaluations of cloud-na
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41ad639e81ff36b8381200970b11e71f
https://doi.org/10.21941/kcss/2023/2
https://doi.org/10.21941/kcss/2023/2
Autor:
Ellenrieder, Martin, Surmann, Bastian, Enz, Andreas, Toch, Sören Henning, Lenz, Robert, Mittelmeier, Wolfram
Publikováno v:
Der Orthopäde; 20240101, Issue: Preprints p1-8, 8p
Autor:
Wolfram Mittelmeier, Martin Ellenrieder, Robert Lenz, Bastian Surmann, Andreas Enz, Sören Henning Toch
Publikováno v:
Die Orthopädie. 51:564-572
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2f1c45066df6caa7dd129bc136a10a9
https://doi.org/10.1007/s00132-021-04185-7
https://doi.org/10.1007/s00132-021-04185-7
Akademický článek
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Publikováno v:
Theory of Computing Systems. 64:120-140
We study the Parallel Task Scheduling problem $Pm|size_j|C_{\max}$ with a constant number of machines. This problem is known to be strongly NP-complete for each $m \geq 5$, while it is solvable in pseudo-polynomial time for each $m \leq 3$. We give a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41e267c9de33f9157d3dcf0a5c6da347
https://doi.org/10.1007/s00224-019-09910-6
https://doi.org/10.1007/s00224-019-09910-6
Autor:
Wilhelm Hasselbring, Sören Henning
Publikováno v:
[Paper] In: ICPE '21: ACM/SPEC International Conference on Performance Engineering, 19 04 2021-23 04 2021, Virtual Event France . ICPE '21: Companion of the ACM/SPEC International Conference on Performance Engineering ; pp. 85-88 .
ICPE (Companion)
ICPE (Companion)
Scalability is promoted as a key quality feature of modern big data stream processing engines. However, even though research made huge efforts to provide precise definitions and corresponding metrics for the term scalability, experimental scalability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::831af4d6b4ab5233b448f8dfd41df745
http://oceanrep.geomar.de/52564/
http://oceanrep.geomar.de/52564/
Autor:
Sören Henning, Wilhelm Hasselbring
Publikováno v:
Data-Enabled Discovery and Applications. 4
Ever-increasing amounts of data and requirements to process them in real time lead to more and more analytics platforms and software systems designed according to the concept of stream processing. A common area of application is processing continuous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eeb7a7f2bc281f627c28220d73f371b3
https://doi.org/10.1007/s41688-020-00041-3
https://doi.org/10.1007/s41688-020-00041-3
The Internet of Things adoption in the manufacturing industry allows enterprises to monitor their electrical power consumption in real time and at machine level. In this paper, we follow up on such emerging opportunities for data acquisition and show
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f7ef28dd884d920e484e72e9dcb1c1b
http://arxiv.org/abs/2009.10369
http://arxiv.org/abs/2009.10369
Publikováno v:
Goldschmidt Abstracts.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cac1a4de9a681e6162ef83813d1d3497
https://doi.org/10.46427/gold2020.1022
https://doi.org/10.46427/gold2020.1022