DocumentCode
311451
Title
BEEHIVE: an adaptive, distributed, embedded signal processing environment
Author
Famorzadeh, Shahram ; Madisetti, Vijay ; Egolf, Thomas ; Nguyen, Tuongvu
Author_Institution
Center for Signal & Image Process., Georgia Tech. Res. Inst., Atlanta, GA, USA
Volume
1
fYear
1997
fDate
21-24 Apr 1997
Firstpage
663
Abstract
We propose an open signal processing system design and implementation environment, BEEHIVE, that allows application developers to rapidly compose and debug functional specifications in a networked, distributed computing environment, and then later migrate the application (transparently) onto an embedded, distributed, computing hardware/software platform, with the capability to reconfigure (adaptively) the resources assigned to the application to meet the dynamic real-time requirements of the implementation. Recent developments in the area of virtual machines; broker-based, distributed, transportable computing; object-oriented programming methodologies, Java and its real-time extensions; reconfigurable and programmable hardware; approximate algorithms; adaptive-load and resource-management algorithms, are harnessed in this operating environment
Keywords
distributed processing; programming environments; signal processing; BEEHIVE; Java; adaptive; adaptive-load management; broker-based; distributed; distributed computing; embedded signal processing environment; functional specifications; object-oriented programming; reconfigurable; resource-management; virtual machines; Adaptive signal processing; Application software; Computer networks; Distributed computing; Embedded computing; Embedded software; Hardware; Real time systems; Signal processing algorithms; Software debugging;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location
Munich
ISSN
1520-6149
Print_ISBN
0-8186-7919-0
Type
conf
DOI
10.1109/ICASSP.1997.599855
Filename
599855
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