Java Multi Threaded Based Parallel Remote Sensing Image Interpretation in Desktop Grid

Typical remote sensing image interpretation consists of large number of long-lived independent computation jobs such as calibration, correction, and transformation and computation. These time consuming jobs are suitable for execution in desktop grid with high performance commodity PCs for its lower...

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Vydáno v:2010 Fifth Annual ChinaGrid Conference s. 51 - 59
Hlavní autoři: Congfeng Jiang, Xianghua Xu, Jian Wan, Jilin Zhang, Yunfa Li
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.07.2010
Témata:
desktop grid
image interpretation
Image processing
Java
job scheduling
Monitoring
paralle processing
Processor scheduling
Program processors
Remote sensing
Resource management
ISBN:9781424475438, 1424475430
ISSN:1949-131X
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Shrnutí:Typical remote sensing image interpretation consists of large number of long-lived independent computation jobs such as calibration, correction, and transformation and computation. These time consuming jobs are suitable for execution in desktop grid with high performance commodity PCs for its lower cost and high management ability. In this paper, a framework of parallel remote sensing image interpretation in desktop grid is proposed. The framework consists of modules such as job partitioning and scheduling, load balancing, communication, and image processing. We also provided an implementation based on java multi threaded programming. The computation results on real application of soil moisture estimation workload show that the average speedup is 6.1 in a 9-node heterogeneous desktop grid environment and failure rate of jobs is less than 5.6%.
ISBN:9781424475438
1424475430
ISSN:1949-131X
DOI:10.1109/ChinaGrid.2010.27