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Journal of Applied Sciences

Year: 2005 | Volume: 5 | Issue: 6 | Page No.: 1056-1061
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Authors

Najib A. Kofahi

Kalim Uddin Qureshi

Keywords

Research Article

An Efficient Approach of Load Balancing for Parallel Visualization of Blood Head Vessel Angiography on Cluster of WS and PC

Najib A. Kofahi and Kalim Uddin Qureshi
This study introduces a method to obtain an efficient load balancing for distributed medical image processing application. The proposed strategy has a dynamic task partition and adaptive load balancing features that coop the machine`s performance variation and heterogeneity of the distributed system. Since in medical imaging applications massive amounts of data movement occurs, the effect of data compression is also investigated in this study. The measured results show that the proposed strategy improves the performance of distributed medical imaging system on heterogeneous clusters of Personal Computers (PC) and Workstations (WS) and remedy the defects of Runtime Task Scheduling (RTS) strategy. The proposed strategy is called Effective Load Balancing (ELB) for parallel visualization of blood head vessel angiography on cluster of PC and WS. The Parallel Virtual Machine (PVM) environment was used as a tool for parallelization.
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