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Distributed image processing scheduling in heterogeneous computing network systems

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3 Author(s)
Fard, F.N. ; Dept. of Mechatron., Azad Univ. South Tehran Branch., Tehran, Iran ; Broumandnia, A. ; Mohammadi, S.

A decretive concern in distributed computing systems is to efficiently schedule the tasks among all processors so that the overall processing time of the submitted tasks is at a minimum. In this article, following the recently evolved paradigm, referred to as divisible load theory (DLT), we conducted an experimental study on the time performance to process a large volume of image data on a network of workstations. We present our program model and timing mechanism for the distributed image processing and finally display effects of δ parameter and test cases in our mentioned algorithm.

Published in:

Mechatronics (MECATRONICS) , 2012 9th France-Japan & 7th Europe-Asia Congress on and Research and Education in Mechatronics (REM), 2012 13th Int'l Workshop on

Date of Conference:

21-23 Nov. 2012