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Titlebook: Cloud Computing and Big Data; 7th Conference, JCC& Marcelo Naiouf,Franco Chichizola,Enzo Rucci Conference proceedings 2019 Springer Nature

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Detecting Time-Fragmented Cache Attacks Against AES Using Performance Monitoring Countersryption requests. We demonstrate that PMCs are a feasible tool to detect the attack and that sampling PMCs at high frequencies is worse than sampling at lower frequencies in terms of detection capabilities, particularly when the attack is fragmented in time to try to be hidden from detection.
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Mobile and Wearable Computing in Patagonian Wildernessith the computational method used to support their activities. This study presents results and indicators relating to the application these tools within the field of Flora information retrieval, in areas far from urban centers.
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Cloud Computing and Big Data978-3-030-27713-0Series ISSN 1865-0929 Series E-ISSN 1865-0937
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C. O. Schmidt,J.-F Chenot,T. Kohlmanntion on mobile devices, certain non-functional requirements become highly relevant. In this article, an experimental study on three non-functional requirements that are essential for the development of native and multi-platform mobile apps is detailed. These requirements are performance, energy consumption and storage space utilization.
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Kulturgeschichtliche Bedeutung des Schmerzess represent the kernels of applications that measure specific hardware components. If the user’s application is not represented by any benchmark, it is not possible to obtain an equivalent performance metric. In this work, we propose a benchmark based on the signature of an MPI application obtained
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Neuroendokrinologie und Neuroimmunologieenerating the corresponding overhead. In this paper, we show how to evaluate and even find out several configuration performance characteristics by using virtualized environments which are now used in data centers and cloud environments. We use specific and simple web software architectures as ., an
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