Deriving a realistic workload model to simulate high-volume financial data feeds for performance benchmarking - researchr publication authors

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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]

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