Mascha Kurpicz

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Power estimation of software processes provides critical indicators to drive scheduling or power capping heuristics. State-of-the-art solutions can perform coarse-grained power estimation in virtualized environments, typically treating <i>virtual machines</i> (VMs) as a black box. Yet, VM-based systems are nowadays commonly used to host multiple(More)
Power estimation of software processes provides critical indicators to drive scheduling or power capping heuristics. State-of-the-art power estimation solutions only provide coarse-grained support for power estimation. In this paper, we therefore propose a middleware for assembling and configuring software-defined power meters. Software-defined power meters(More)
Distributed data centers for multi-cloud environments usually do not consist of homogeneous hardware as they are not built at the same time by the same owner. Assigning workloads to the most appropriate processing units is therefore a challenging task. In this paper we show how in the context of heterogeneous data centers power consumption can be used as a(More)
The costs of current data centers are mostly driven by their energy consumption (specifically by the air conditioning, computing and networking infrastructure). Yet, current pricing models are usually static and rarely consider the facilities' energy consumption per user. The challenge is to provide a fair and predictable model to attribute the overall(More)
The main objective of the ParaDIME project has been to minimize energy consumption at all levels of the data center. On the one hand, we have considered what can be achieved on currently existing systems, via improvements of the programming model and the runtime system. On the other hand, we investigated which techniques and design decisions can make future(More)
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