Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Hähnel, Markus"'
Utilizing smartphone sensor data from crowdsen-sing (CS) campaigns for transportation planning (TP) requires highly reliable transport mode recognition. To address this, we present our RNN-based AI model MovDeep, which works on GPS, accelerometer, ma
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The energy consumption of large-scale data centers or server clusters is expected to grow significantly in the next couple of years contributing to up to 13% of the worldwide energy demand in 2030. As the involved processing units require a dispropor
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Based on an application in the field of server consolidation, we consider the one-dimensional cutting stock problem with nondeterministic item lengths. After a short introduction to the general topic we investigate the case of normally distributed it
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https://tud.qucosa.de/id/qucosa%3A85479
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The architectures of large-scale Internet servers are becoming more complex each year in order to store and process a large amount of Internet data (Big Data) as efficiently as possible. One of the consequences of this continually growing complexity
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https://tud.qucosa.de/id/qucosa%3A85473
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Emerging mobile platforms integrate heterogeneous, multicore processors to efficiently deal with the heterogeneity of data (in magnitude, type, and quality). The main goal is to achieve a high degree of energy-proportionality which corresponds with t
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https://tud.qucosa.de/id/qucosa%3A85463
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Autor:
Hähnel, Markus, Arega, Frehiwot Melak, Dargie, Waltenegus, Khasanov, Robert, Castrillo, Jeronimo
The ever increasing demand for Internet traffic, storage and processing requires an ever increasing amount of hardware resources. In addition to this, infrastructure providers over-provision system architectures to serve users at peak times without p
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https://tud.qucosa.de/id/qucosa%3A85456
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Autor:
Hähnel, Markus, Martinovic, John, Scheithauer, Guntram, Fischer, Andreas, Schill, Alexander, Dargie, Waltenegus
Data centres and similar server clusters consume a large amount of energy. However, not all consumed energy produces useful work. Servers consume a disproportional amount of energy when they are idle, underutilised, or overloaded. The effect of these
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A85474
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Autor:
Hähnel, Markus
Nowadays, our daily live concerns the usage of Information Technology, increasingly. As a result, a huge amount of data has to be processed which is outsourced from local devices to data centers. Due to fluctuating demands these are not fully utilize
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https://tud.qucosa.de/id/qucosa%3A85464
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Autor:
Hähnel, Markus
Der steigende Bedarf an Internettraffic, Speicher und Verarbeitung benötigt immer mehr Hardwareressourcen. Zusätzlich überdimensionieren Datenzentrumbetreiber ihre Infrastruktur, um auch bei Bedarfsspitzen hinreichend Leistung zur Verfügung stell
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https://tud.qucosa.de/id/qucosa%3A34459
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Autor:
Klumbies, Hannes, Schmidt, Peter, Hähnel, Markus, Singh, Aarti, Schroeder, Uwe, Richter, Claudia, Mikolajick, Thomas, Hoßbach, Christoph, Albert, Matthias, Bartha, Johann W., Leo, Karl, Müller-Meskamp, Lars
Publikováno v:
In Organic Electronics February 2015 17:138-143
