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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/39075
Title: How to apply modeling and optimization to select the appropriate cloud platform
Authors: Zibitsker, B.
Lupersolsky, A.
Keywords: материалы конференций;cloud platform;service Level Goals;workload characterization;workload forecasting;seasonality determination;benchmarking;modeling;optimization
Issue Date: 2020
Publisher: Беспринт, РБ
Citation: Zibitsker, B. How to apply modeling and optimization to select the appropriate cloud platform / B. Zibitsker, A. Lupersolsky // BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня: сб. материалов VI Междунар. науч. - практ. конф., Минск, 20 - 21 мая 2020 года: в 3 ч. Ч. 1 / редкол.: В. А. Богуш [и др.]. – Минск : Бестпринт, 2020. – С. 11–18.
Abstract: In this paper we will review results of the workload characterization for On Prem Data Warehouse environment. Secondly, we collect measurement data for standard TPC-DS benchmark tests performed in AWS Vantage, Redshift and Snowflake Cloud platforms for different sizes of the data sets and different number of concurrent users. During third step we use the results of the workload characterization and measurement data collected during the benchmark to modify BEZNext On Prem closed queueing network model to model individual Clouds. And finally, during the fourth step we use the model to consider differences in concurrency, priorities and resource allocation to different workloads. BEZNext Capacity Planning optimization algorithms incorporate gradient search mechanism to find the AWS instance type and minimum number of instances which will be required to meet SLGs for each of the workloads.
URI: https://libeldoc.bsuir.by/handle/123456789/39075
ISBN: 978-985-90533-7-5
Appears in Collections:BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня (2020)

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