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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
Ankush Gupta , ETH Zurich, Germany
Ming-Chien Shan , SAP Labs, USA
Girish Mundada , SAP Labs, USA
Laura Haas , IBM Almaden Research Center, USA
Nesime Tatbul , ETH Zurich, Germany
Beomjin Yun , SAP Labs, USA
Kihong Kim , SAP Labs, USA
Younggoo Cho , SAP Labs, USA
Jin Zhang , SAP Labs, USA
Irina Botan , ETH Zurich, Germany
Chulwon Lee , SAP Labs, USA
Roozbeh Derakhshan , ETH Zurich, Germany
Ying Yan , SAP Labs, USA
Nihal Dindar , ETH Zurich, Germany
ABSTRACT
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.
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CITATION
Ankush Gupta, Ming-Chien Shan, Girish Mundada, Laura Haas, Nesime Tatbul, Beomjin Yun, Kihong Kim, Younggoo Cho, Jin Zhang, Irina Botan, Chulwon Lee, Roozbeh Derakhshan, Ying Yan, Nihal Dindar, "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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