CHAOS: A Data Stream Analysis Architecture for Enterprise Applications
Chetan Gupta, Song Wang, İsmail Arı, Ming Hao, Umeshwar Dayal, Abhay Mehta, Manish Marwah, Ratnesh Kumar Sharma · 2009
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.