Abstract
The dynamics nature of grid environment brings challenges for applications to offer nontrivial QoS on distributed, heterogeneous resources. It’s a better way to select the suitable grid resources constrained by QoS. In this paper we propose the application QoS model and metrics as the standard of resource selection. We also give consideration of the existence of data dependence between the tasks composing an application and apply it to the QoS model. And we solve the resource selection problem efficiently using novel neural networks.
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Hao, X., Dai, Y., Zhang, B., Chen, T., Yang, L. (2006). QoS-Driven Grid Resource Selection Based on Novel Neural Networks. In: Chung, YC., Moreira, J.E. (eds) Advances in Grid and Pervasive Computing. GPC 2006. Lecture Notes in Computer Science, vol 3947. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11745693_45
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DOI: https://doi.org/10.1007/11745693_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33809-3
Online ISBN: 978-3-540-33810-9
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