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Hardware Utilization Measurement and Optimization: A Statistical Investigation and Simulation Study
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

It is essential for the managers to make investment on hardware based on the utilization information of the equipment. From December 2014, a pool of hardware and a scheduling and resource sharing system is implemented by one of the software testing sections in Ericsson. To monitor the efficiency of these equipment and the workflow, a model of non-homogeneous M/M/c queue is developed that successfully captures the main aspects of the system. The model is decomposed into arrival, service, failure and each part is estimated. Mixture exponential is estimated with EM algorithm and the impact of scheduling change is also examined. Finally a simulation of workflow is done with Python module and the optimized number of hardware is proposed based on this M/M/c queue system.

Place, publisher, year, edition, pages
2015. , 21 p.
Keyword [en]
M/M/c queue, failure rate, exponential distribution family, EM algorithm
National Category
Probability Theory and Statistics
URN: urn:nbn:se:uu:diva-260070OAI: diva2:846239
External cooperation
Educational program
Master Programme in Statistics
2015-06-04, F332, Ekonomikum, Kyrkogårdsgatan 10, 751 20 Uppsala, 15:25 (English)
Available from: 2015-08-26 Created: 2015-08-14 Last updated: 2015-08-26Bibliographically approved

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