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2013 IEEE 29th International Conference on Data Engineering (ICDE) (2010)
Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
ISBN: 978-1-4244-5445-7
pp: 1093-1096
Irina Botan , ETH Zurich, Germany
Younggoo Cho , SAP Labs, USA
Roozbeh Derakhshan , ETH Zurich, Germany
Nihal Dindar , ETH Zurich, Germany
Ankush Gupta , ETH Zurich, Germany
Laura Haas , IBM Almaden Research Center, USA
Kihong Kim , SAP Labs, USA
Chulwon Lee , SAP Labs, USA
Girish Mundada , SAP Labs, USA
Ming-Chien Shan , SAP Labs, USA
Nesime Tatbul , ETH Zurich, Germany
Ying Yan , SAP Labs, USA
Beomjin Yun , SAP Labs, USA
Jin Zhang , SAP Labs, USA
MaxStream is a federated stream processing system that seamlessly integrates multiple autonomous and heterogeneous Stream Processing Engines (SPEs) and databases. In this paper, we propose to demonstrate the key features of MaxStream using two application scenarios, namely the Sales Map & Spikes business monitoring scenario and the Linear Road Benchmark, each with a different set of requirements. More specifically, we will show how the MaxStream Federator can translate and forward the application queries to two different commercial SPEs (Coral8 and StreamBase), as well as how it does so under various persistency requirements.
Irina Botan, Younggoo Cho, Roozbeh Derakhshan, Nihal Dindar, Ankush Gupta, Laura Haas, Kihong Kim, Chulwon Lee, Girish Mundada, Ming-Chien Shan, Nesime Tatbul, Ying Yan, Beomjin Yun, Jin Zhang, "A demonstration of the MaxStream federated stream processing system", 2013 IEEE 29th International Conference on Data Engineering (ICDE), vol. 00, no. , pp. 1093-1096, 2010, doi:10.1109/ICDE.2010.5447906
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