A demonstration of the MaxStream federated stream processing system

Author

Botan, Irina ; Cho, Younggoo ; Derakhshan, Roozbeh ; Dindar, Nihal ; Gupta, Ankush ; Haas, Laura ; Kim, Kihong ; Lee, Chulwon ; Mundada, Girish ; Shan, Ming-Chien ; Tatbul, Nesime ; Yan, Ying ; Yun, Beomjin ; Zhang, Jin

Author_Institution

ETH Zurich, Zurich, Germany

fYear

2010

fDate

1-6 March 2010

Firstpage

1093

Lastpage

1096

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.

Keywords

competitive intelligence; distributed databases; query processing; relational databases; Linear Road Benchmark; MaxStream; Sales Map & Spikes business monitoring scenario; autonomous stream processing engines; databases; federated stream processing system; heterogeneous stream processing engines; Application software; Bismuth; Business; Computerized monitoring; Delay; Engines; Forward contracts; Intelligent sensors; Marketing and sales; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Engineering (ICDE), 2010 IEEE 26th International Conference on

Conference_Location

Long Beach, CA

Print_ISBN

978-1-4244-5445-7

Electronic_ISBN

978-1-4244-5444-0

Type

conf

DOI

10.1109/ICDE.2010.5447906

Filename

5447906