Title :
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
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;
Conference_Titel :
Commerce and Enterprise Computing, 2009. CEC '09. IEEE Conference on
Conference_Location :
Vienna
Print_ISBN :
978-0-7695-3755-9
DOI :
10.1109/CEC.2009.74
