DocumentCode :
3323655
Title :
XStream: a Signal-Oriented Data Stream Management System
Author :
Girod, Lewis ; Mei, Yuan ; Newton, Ryan ; Rost, Stanislav ; Thiagarajan, Arvind ; Balakrishnan, Hari ; Madden, Samuel
Author_Institution :
Comput. Sci. & Artificial Intell. Lab., MIT, Cambridge, MA
fYear :
2008
fDate :
7-12 April 2008
Firstpage :
1180
Lastpage :
1189
Abstract :
Sensors capable of sensing phenomena at high data rates on the order of tens to hundreds of thousands of samples per second are now widely deployed in many industrial, civil engineering, scientific, networking, and medical applications. In aggregate, these sensors easily generate several million samples per second that must be processed within milliseconds or seconds. The computation required includes both signal processing and event stream processing. XStream is a stream processing system for such applications. XStream introduces a new data type, the signal segment, which allows applications to manipulate isochronous (regularly spaced in time) collections of sensor samples more conveniently and efficiently than the asynchronous representation used in previous work. XStream includes a memory manager and scheduler optimizations tuned for processing signal segments at high speeds. In benchmark comparisons, we show that XStream outperforms a leading commercial stream processing system by more than three orders of magnitude. On one application, the commercial system processed 72.7 Ksamples/sec, while XStream processed 97.6 Msamples/sec.
Keywords :
database management systems; optimisation; sensor fusion; data stream management system; event stream processing; memory manager optimization; scheduler optimization; sensor; signal processing; Acoustic signal processing; Aggregates; Computer network management; Filters; Intelligent sensors; Memory management; Performance gain; Sensor phenomena and characterization; Signal design; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-1836-7
Electronic_ISBN :
978-1-4244-1837-4
Type :
conf
DOI :
10.1109/ICDE.2008.4497527
Filename :
4497527
Link To Document :
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