Abstract
Resource consumption in virtualized computing environment is an important problem in modern cloud infrastructures. This paper introduces methods of detecting and solving problems of unbalanced load nodes in cloud cluster. We propose multi-objective optimization problem analysis as the bin packaging problem, using criteria convolution method to make it a single objective problem and neural networks with back-propagation to reduce balancing time. The considered approach is modeled in AnyLogic and the integration software for the system is implemented on OpenStack cloud platform.
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Lukashin, A., Lukashin, A. (2014). Resource Scheduler Based on Multi-agent Model and Intelligent Control System for OpenStack. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2014. Lecture Notes in Computer Science, vol 8638. Springer, Cham. https://doi.org/10.1007/978-3-319-10353-2_51
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DOI: https://doi.org/10.1007/978-3-319-10353-2_51
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10352-5
Online ISBN: 978-3-319-10353-2
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