Abstract
Monitoring and prediction of resource usage are two major methods to manage distributed computing environments such as cluster, grid computing, and most recent cloud computing. In this paper, we propose a novel hotspot removal system using a neural network predictor. The proposed system detects and removes hotspots with resource specific removal algorithm. The system also improves neural network predictor by introducing prediction confidence. The effectiveness of our proposed system is verified with empirical examples, and evaluation results show that our system outperforms a popular hotspot removal system in hotspot predication and hotspot removal.
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Oh, S., Kang, MY., Kang, S. (2013). Effective Hotspot Removal System Using Neural Network Predictor. In: Selamat, A., Nguyen, N.T., Haron, H. (eds) Intelligent Information and Database Systems. ACIIDS 2013. Lecture Notes in Computer Science(), vol 7803. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36543-0_49
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DOI: https://doi.org/10.1007/978-3-642-36543-0_49
Publisher Name: Springer, Berlin, Heidelberg
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