Abstract
With the increasing popularity of cloud computing[2], building highly reliable applications on cloud is very important. However, it’s hard to give an optimal solution for large-scale cloud applications. In order to provide an effective solution on this research problem, we propose a component ranking approach named as FTCRank for applying fault-tolerant strategies to the significant components. FTCRank considers not only structure information but also component characteristics to obtain the result. Experiments show that FTCRank achieves better results than other existing algorithms in Top-K fault-tolerant cloud tasks.
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Xu, H., Xie, Y., Duan, D., Chen, L., Wu, J. (2013). FTCRank: Ranking Components for Building Highly Reliable Cloud Applications. In: Li, J., et al. Trends and Applications in Knowledge Discovery and Data Mining. PAKDD 2013. Lecture Notes in Computer Science(), vol 7867. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40319-4_45
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DOI: https://doi.org/10.1007/978-3-642-40319-4_45
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