%0 Conference Paper %1 Eichelberger:2014:RAB:2647908.2655958 %A Eichelberger, Holger %A Schmid, Klaus %B Proceedings of the 18th International Software Product Line Conference: Companion Volume for Workshops, Demonstrations and Tools - Volume 2 %C New York, NY, USA %D 2014 %I ACM %K adaptation financial myown qualimaster risk %P 10--11 %R 10.1145/2647908.2655958 %T Resource-optimizing Adaptation for Big Data Applications %U http://doi.acm.org/10.1145/2647908.2655958 %X The resource requirements of Big Data applications may vary dramatically over time, depending on changes in the context. If resources should not be defined for the maximum case, but available resources are mostly static, there is a need to adapt resource usage by modifying the processing behavior. The QualiMaster project researches such an approach for the analysis of systemic risks in the financial markets. %@ 978-1-4503-2739-8

@inproceedings{Eichelberger:2014:RAB:2647908.2655958, abstract = {The resource requirements of Big Data applications may vary dramatically over time, depending on changes in the context. If resources should not be defined for the maximum case, but available resources are mostly static, there is a need to adapt resource usage by modifying the processing behavior. The QualiMaster project researches such an approach for the analysis of systemic risks in the financial markets.}, acmid = {2655958}, added-at = {2014-09-25T13:41:20.000+0200}, address = {New York, NY, USA}, author = {Eichelberger, Holger and Schmid, Klaus}, biburl = {https://www.bibsonomy.org/bibtex/293fefaa70200e66c405f46e26525ae53/eichelbe}, booktitle = {Proceedings of the 18th International Software Product Line Conference: Companion Volume for Workshops, Demonstrations and Tools - Volume 2}, doi = {10.1145/2647908.2655958}, interhash = {834296676973a0a045400915426706c0}, intrahash = {93fefaa70200e66c405f46e26525ae53}, isbn = {978-1-4503-2739-8}, keywords = {adaptation financial myown qualimaster risk}, location = {Florence, Italy}, month = {September}, numpages = {2}, pages = {10--11}, publisher = {ACM}, series = {SPLC '14}, timestamp = {2014-09-25T13:41:20.000+0200}, title = {Resource-optimizing Adaptation for Big Data Applications}, url = {http://doi.acm.org/10.1145/2647908.2655958}, year = 2014 }