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Internet application workloads typically vary over time, periods of low demand alternate with spikes which, if not properly handled, can saturate the allocated infrastructure and violate Service Level Agreements. In this work, we leverage the usage patterns associated with the different customers of an Internet application to make tailored workload predictions. These workload predictions are then...
Improving energy efficiency of data centers is an important research challenge. Web services are an important part of data centers' workload, and a large contributor to their energy footprint. This paper contributes an approach that, leveraging statistical data over web services usage patterns, dynamically predicts the resources required by the web service application. Our framework, SOPRA, uses these...
We present a vision for the evolution of automotive diagnostics as car electronics are increasingly implemented as distributed systems. We first analyze the state of the art in the automotive development process, and we identify how distributed functionality challenges this process and leads to higher development and field maintenance costs. To address these challenges, we propose a modified development...
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