@inproceedings{KrWo:Cloud:2014, author = {Kro{\ss}, Johannes and Wolke, Andreas}, title = {Cloudburst - Simulating Workload for IaaS Clouds}, booktitle = {Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing}, publisher = {IEEE}, series = {CLOUD '14}, pages = {841--848}, year = {2014}, month = jun, location = {Anchorage, Alaska, USA}, abstract = {In this work we implemented Cloudburst to generate realistic workload in Infrastructure as a Service cloud testbeds. Our goal was to minimize the memory footprint of such workload generators by leveraging alternative programming paradigms for highly concurrent applications. In contrast to many existing we leverage the concurrency model of the Go programming language instead of threads. Initial benchmarks with Cloudburst and Rain suggest that Cloudburst consumes significantly less memory at the cost of a higher CPU footprint. In our experimental testbed memory is a more critical resource. Leveraging Cloudburst allows us to run larger benchmarks with the same hardware.}, isbn = {978-1-4799-5062-1}, doi = {10.1109/CLOUD.2014.116}, keywords = {benchmark, Benchmark testing, cloud computing, Cloudburst, Clouds, concurrency control, Generators, Go programming language concurrency model, IaaS clouds, infrastructure as a service cloud testbeds, Java, load driver, memory footprint minimization, Message systems, Rain, Servers, virtual machines}, url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6973822}, } @inproceedings{BrKr14, author = {Brunnert, Andreas and Krcmar, Helmut}, title = {Detecting Performance Change in Enterprise Application Versions Using Resource Profiles}, booktitle = {Proceedings of the 8th International Conference on Performance Evaluation Methodologies and Tools}, publisher = {ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)}, series = {VALUETOOLS '14}, pages = {165 - 172}, year = {2014}, address = {ICST, Brussels, Belgium, Belgium}, location = {Bratislava, Slovakia}, isbn = {978-1-63190-057-0}, doi = {10.4108/icst.valuetools.2014.258184}, keywords = {Enterprise Applications, Java, Palladio Component Model, performance change detection, Performance Evaluation}, url = {http://dx.doi.org/10.4108/icst.valuetools.2014.258184}, } @incollection{BrVoKr13, author = {Brunnert, Andreas and V{\"{o}}gele, Christian and Krcmar, Helmut}, editor = {Balsamo, MariaSimonetta and Knottenbelt, William J. and Marin, Andrea}, title = {Automatic Performance Model Generation for Java Enterprise Edition (EE) Applications}, booktitle = {Computer Performance Engineering, 10th European Workshop on Performance Engineering}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, volume = {8168}, pages = {74-88}, year = {2013}, location = {Venice, Italy}, isbn = {978-3-642-40724-6}, doi = {10.1007/978-3-642-40725-3_7 [add to citavi project by doi] <javascript:>}, keywords = {Enterprise Applications, Java Enterprise Edition, Palladio Component Model, Performance Evaluation, Performance Modeling}, }