Abstract
Virtualized environment generates a large amount of monitoring data; even then it’s very hard to correlate such a monitoring data effectively with underlying virtualized environment, due to its dynamic nature. This paper introduces new method of mapping relationship in a virtualized data center by identifying dependent variables within monitored performance data. Dependent variables have an association relationship which can be measured and validated through statistical calculations. The new algorithm introduced here, automatically searches such relationship between various devices of the virtualized environment. Due to its dynamic nature of the virtualized environment, we have to take a measurement at multiple points of time, any relationship which holds good across these time intervals are considered as dependent variables. These dependent variables are used to characterize the complex interaction of the virtual data center device. Such relationship details can be used to build model to predict the fault occurrence. Paper explains the algorithm and experimental results obtained during our validation phase.
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Bharath, M.B., Ashoka, D.V. (2017). Algorithm to Find the Dependent Variable in Large Virtualized Environment. In: Satapathy, S., Prasad, V., Rani, B., Udgata, S., Raju, K. (eds) Proceedings of the First International Conference on Computational Intelligence and Informatics . Advances in Intelligent Systems and Computing, vol 507. Springer, Singapore. https://doi.org/10.1007/978-981-10-2471-9_40
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DOI: https://doi.org/10.1007/978-981-10-2471-9_40
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