Vladimir Sladojevic, Sebastian Frischbier, Alexander Echler, Mario Paic, Alessandro Margara. Deriving a realistic workload model to simulate high-volume financial data feeds for performance benchmarking. In Yongluan Zhou, Panos K. Chrysanthis, Vincenzo Gulisano, Eleni Tzirita Zacharatou, editors, 16th ACM International Conference on Distributed and Event-based Systems, DEBS 2022, Copenhagen, Denmark, June 27 - 30, 2022. pages 126-131, ACM, 2022. [doi]
@inproceedings{SladojevicFEPM22, title = {Deriving a realistic workload model to simulate high-volume financial data feeds for performance benchmarking}, author = {Vladimir Sladojevic and Sebastian Frischbier and Alexander Echler and Mario Paic and Alessandro Margara}, year = {2022}, doi = {10.1145/3524860.3539653}, url = {https://doi.org/10.1145/3524860.3539653}, researchr = {https://researchr.org/publication/SladojevicFEPM22}, cites = {0}, citedby = {0}, pages = {126-131}, booktitle = {16th ACM International Conference on Distributed and Event-based Systems, DEBS 2022, Copenhagen, Denmark, June 27 - 30, 2022}, editor = {Yongluan Zhou and Panos K. Chrysanthis and Vincenzo Gulisano and Eleni Tzirita Zacharatou}, publisher = {ACM}, isbn = {978-1-4503-9308-9}, }