CHAOS: A Data Stream Analysis Architecture for Enterprise Applications

Author

Gupta, Chetan ; Wang, Song ; Ari, Ismail ; Hao, Ming ; Dayal, Umeshwar ; Mehta, Abhay ; Marwah, Manish ; Sharma, Ratnesh

fYear

2009

fDate

20-23 July 2009

Firstpage

33

Lastpage

40

Abstract

In this paper, we describe the design of our architecture for continuous, heterogeneous analysis over streams, aka CHAOS that combines stream processing, approximation techniques, mining, complex event processing and visualization. CHAOS, with the novel concept of computational stream analysis Cube, provides an effective, scalable platform for near real time processing of business and enterprise streams. We describe our approach with a real data center temperature analysis application.

Keywords

business data processing; data analysis; CHAOS; Cube; complex event processing; computational stream analysis; continuous heterogeneous analysis-over-streams; data center temperature analysis; data stream analysis architecture; enterprise applications; Business; Chaos; Computer architecture; Data analysis; Data visualization; Ecosystems; Engines; Information analysis; Information management; Performance analysis; Data Center; Stream Analysis Architecture;

fLanguage

English

Publisher

ieee

Conference_Titel

Commerce and Enterprise Computing, 2009. CEC '09. IEEE Conference on

Conference_Location

Vienna

Print_ISBN

978-0-7695-3755-9

Type

conf

DOI

10.1109/CEC.2009.74

Filename

5210817