Abstract
Resource performance prediction is the basis of dynamic load balance in distributed computing. A model for resource performance prediction named ARPP is introduced and carried out. ARPP model monitors key parameters of resources and estimates the directions using ant algorithm. The implement and analysis of ARPP is based on GridSim simulator and the process of astronomical image mosaicking application. The experiment result shows the efficiency of the model and the determination of optimized parameters.
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Yu, C., Xiong, K., Sun, J., Huang, Y., Xiao, J. (2010). ARPP: Ant Colony Algorithm Based Resource Performance Prediction Model. In: Hsu, CH., Malyshkin, V. (eds) Methods and Tools of Parallel Programming Multicomputers. MTPP 2010. Lecture Notes in Computer Science, vol 6083. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14822-4_19
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DOI: https://doi.org/10.1007/978-3-642-14822-4_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14821-7
Online ISBN: 978-3-642-14822-4
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