The Case for a Signal-Oriented Data Stream Management System

Lewis Girod, Yuan Mei, Ryan Newton, Stanislav Rost, Arvind Thiagarajan, Hari Balakrishnan, Samuel Madden
CIDR 2007 - 3rd Biennial Conference on Innovative Data Systems Research, Monterey, CA, January 2007

Sensors capable of sensing phenomena at high data rates---on the order of tens to hundreds of thousands of samples per second---are useful in many industrial, civil engineering, scientific, networking, and medical applications. In these applications, high-rate streams of data produced by sensors must be processed and analyzed using a combination of both event-stream and signal-processing operations. This paper motivates the need for a data management and continuous query processing architecture that integrates these two different desired classes of functions into a single, unified software system. The key goals of such a system include: the ability to treat a sequence of samples that constitute a ``signal segment'' as a basic data type; ease of writing arbitrary event-stream and signal-processing functions; the ability to process several million samples per second on conventional PC hardware; and the ability to distribute application code across both PCs and sensor nodes.

[PDF (262KB)]

Bibtex Entry:

@inproceedings{girod2007signal-oriented,
   author =       "Lewis Girod and Yuan Mei and Ryan Newton and Stanislav Rost and Arvind Thiagarajan and Hari Balakrishnan and Samuel Madden",
   title =        "{The Case for a Signal-Oriented Data Stream Management System}",
   booktitle =    {CIDR 2007 - 3rd Biennial Conference on Innovative Data Systems Research},
   year =         {2007},
   month =        {January},
   address =      {Monterey, CA}
}