Christian Bodenstein

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Autonomous learning is demonstrated by living beings that learn visual invariances during their visual experience. Standard neural network models do not show this sort of learning. On the example of face recognition in different situations we propose a learning process that separates learning of the invariance proper from learning new instances of(More)
In this work we formulate strategic decision models describing when and how many reserved instances should be bought when outsourcing a workload to an Infrastructure-as-a-Service (IaaS) provider. Current IaaS providers offer various pricing options for leasing computing resources. When decision makers are faced with the choice and most importantly with(More)
A large portion of power consumed by datacenters in small and medium sized businesses is wasted consumption, as machines mostly run idle. Commonly, this is accepted by operators as many countermeasures, such as layout redesign or hardware upgrades are too. In this work we analyze how much power can be saved if an exact optimization problem is set up to(More)
The dynamics of circadian rhythms needs to be adapted to day length changes between summer and winter. It has been observed experimentally, however, that the dynamics of individual neurons of the suprachiasmatic nucleus (SCN) does not change as the seasons change. Rather, the seasonal adaptation of the circadian clock is hypothesized to be a consequence of(More)
Exploration of chronobiological systems emerges as a growing research field within bioinformatics focusing on various applications in medicine, agriculture, and material sciences. From a systems biological perspective, the question arises whether biological control systems for regulation of oscillatory signals and their technical counterparts utilise(More)
In the last century, the costs of powering datacenters have increased so quickly, that datacenter power bills now dwarf the IT hardware bills. Many large infrastructure programs have been developed in the past few years to reduce the energy consumption of datacenters, especially with respect to cooling requirements. Although these methods are effective in(More)