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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/34695
Title: Performance assurance for big data and cloud applications
Authors: Zibitsker, B.
Keywords: материалы конференций
сloud
Big Data
queueing network models
Issue Date: 2019
Publisher: БГУИР
Citation: Zibitsker, B. Performance assurance for big data and cloud applications / B. Zibitsker // BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : сборник материалов V Международной научно-практической конференции, Минск, 13–14 марта 2019 г. В 2 ч. Ч. 1 / Белорусский государственный университет информатики и радиоэлектроники; редкол. : В. А. Богуш [и др.]. – Минск, 2019. – С. 12.
Abstract: Reducing the cost and simplification of maintenance and performance management are driving factors of migrating Big Data and Data Warehouse applications to the Cloud. Migration to the cloud brings a lot of challenges. Typical questions include: How will my application work in the cloud? How much resources should be allocated in the cloud to achieve the same performance as we experience currently on prem? How to optimize resource usage and workloads performance? How to take into consideration the impact of virtualization, and what will be the impact of moving from VMs to Containers and from YARN to Kubernetes? In this presentation we will review several use cases illustrating how BEZNext Performance Assurance software incorporates ML, AI and Queueing Network Models to address these types of challenges."
URI: https://libeldoc.bsuir.by/handle/123456789/34695
Appears in Collections:BIG DATA and Advanced Analytics. BIG DATA и анализ высокого уровня (2019)

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