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BEEHIVE: an adaptive, distributed, embedded signal processing environment

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4 Author(s)
Famorzadeh, S. ; Center for Signal & Image Process., Georgia Tech. Res. Inst., Atlanta, GA, USA ; Madisetti, V. ; Egolf, T. ; Nguyen, T.

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

Published in:

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on  (Volume:1 )

Date of Conference:

21-24 Apr 1997