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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.599855