| DC Field | Value | Language |
|---|
| dc.contributor.author | Zibitsker, B. | - |
| dc.date.accessioned | 2019-03-15T07:38:10Z | - |
| dc.date.available | 2019-03-15T07:38:10Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.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. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/34695 | - |
| dc.description.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." | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | сloud | ru_RU |
| dc.subject | Big Data | ru_RU |
| dc.subject | queueing network models | ru_RU |
| dc.title | Performance assurance for big data and cloud applications | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : материалы конференции (2019)
|
