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
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