Joel Scheuner

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Optimizing the deployment of applications in Infrastructureas-a-Service clouds requires to evaluate the costs and performance of different combinations of cloud configurations which is unfortunately a cumbersome and error-prone process. In this paper, we present Cloud WorkBench (CWB), a concrete implementation of a cloud benchmarking Web service, which(More)
We study the performance and cost efficiency as perceived by the end user of a specific class of Infrastructure-as-a-Service (IaaS) cloud instances, namely credit-based bursting instances. This class of instance types has been introduced by Amazon EC2 in summer 2014, and behaves on a fundamental level differently than any other existing instance type,(More)
In order to optimally deploy their applications, users of Infrastructure-as-a-Service clouds are required to evaluate the costs and performance of different combinations of cloud configurations to find out which combination provides the best service level for their specific application. Unfortunately, benchmarking cloud services is cumbersome and(More)
WiFi-enabled devices broadcast a vast amount of data without being associated to any access points. To study and analyze this data, a generic passive WiFi tracking system called Probr was developed. Probr manages various types of WiFi capturing devices, collects captured WiFi traces, processes collected WiFi traces, and visualizes WiFi activities via its(More)
Alfonso Panarello Alireza Ostovar Artjom Lind Briti Deb Carlos Nuñez Carmela Comito Changhui Lin Chii Chang Cristian Klein Davide Mulfari Deborah Falcone Deqing Zou Drazen Lucanin Edgar Pek Eduardo Cabrera Edwin Yaqub Eugenio Cesario Ewnetu Bayuh Lakew Fabrizio Marozzo Fangming Liu Feng Zhao Frederic Gittler Hanhua Chen Huber Flores Jakub Krzywda James(More)
A challenging problem for users of Infrastructure-as-a-Service (IaaS) clouds is selecting cloud providers, regions, and instance types cost-optimally for a given desired service level. Issues such as hardware heterogeneity, contention, and virtual machine (VM) placement can result in considerably differing performance across supposedly equivalent cloud(More)
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