title: ÐÐ²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ñ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ ÑÐµÐ³ÑÐµÑÑÐ¸Ð¸ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸ÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ ÑÐ¸ÑÑÐµÐ¼ Ñ ÑÐ°Ð½ÐµÐ½Ð¸Ñ Ð´Ð°Ð½Ð½ÑÑ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Automated determination of storage performance regression
Creators: name: ÐÐ¾Ð»ÑÑÐ¾Ð², ÐÐ½Ð´ÑÐµÐ¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: ÐÑÑÐ¸ÑÐ»Ð¸ÑÐµÐ»ÑÐ½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ
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description: ÐÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð² Ð¾Ð±Ð»Ð°ÑÑÐ¸ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ð¸ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ ÑÐµÐ³ÑÐµÑÑÐ¸Ð¸ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸ÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ ÑÐ¸ÑÑÐµÐ¼Ñ ÑÑÐ°Ð½ÐµÐ½Ð¸Ñ Ð¿Ð¾ÑÐ¾ÐºÐ¾Ð²ÑÑ Ð´Ð°Ð½Ð½ÑÑ Pravega. Ð ÑÐ°Ð¼ÐºÐ°Ñ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð±ÑÐ»Ð¸ ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð² Ð¾Ð±Ð»Ð°ÑÑÐ¸ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸ÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ ÑÐ°ÑÐ¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð½ÑÑ ÑÐ¸ÑÑÐµÐ¼, Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ñ ÐµÐµ ÐºÐ»ÑÑÐµÐ²ÑÐµ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»Ð¸, ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼Ñ Ð¸Ñ Ð¸Ð·Ð¼ÐµÑÐµÐ½Ð¸Ñ. Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ â ÑÐ½Ð¸Ð¶ÐµÐ½Ð¸Ðµ ÑÑÑÐ´Ð¾ÐµÐ¼ÐºÐ¾ÑÑÐ¸ Ð½Ð°Ð³ÑÑÐ·Ð¾ÑÐ½Ð¾Ð³Ð¾ ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ¸ÑÑÐµÐ¼Ñ ÑÑÐ°Ð½ÐµÐ½Ð¸Ñ Ð¿Ð¾ÑÐ¾ÐºÐ¾Ð²ÑÑ Ð´Ð°Ð½Ð½ÑÑ. Ð ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð¸ ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ ÑÐ¸ÑÑÐµÐ¼Ñ Ð´Ð»Ñ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¸Ñ Ð½Ð°Ð³ÑÑÐ·Ð¾ÑÐ½Ð¾Ð³Ð¾ ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¡Ð¥Ð PravegÐ°, ÑÐ¸ÑÑÐµÐ¼Ñ Ð´Ð»Ñ ÑÐ±Ð¾ÑÑ Ð¼ÐµÑÑÐ¸Ðº ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ ÑÑÐ¾Ð²Ð½ÐµÐ¹ ÑÐµÑÑÐ¾Ð²Ð¾Ð¹ Ð¸Ð½ÑÑÐ°ÑÑÑÑÐºÑÑÑÑ, Ð¸Ñ Ð²Ð¸Ð·ÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¸ ÑÑÐ°Ð½ÐµÐ½Ð¸Ñ. ÐÑÐ»Ð¸ Ð¾Ð¿Ð¸ÑÐ°Ð½Ñ Ð¿Ð¾Ð´ÑÐ¾Ð´Ñ Ðº Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ð¸ Ð¿ÑÐ¾ÑÐµÑÑÐ° ÑÐ±Ð¾ÑÐºÐ¸, ÐºÐ¾Ð½ÑÐ¸Ð³ÑÑÐ°ÑÐ¸Ð¸ Ð¸ ÑÐ°Ð·Ð²ÐµÑÑÑÐ²Ð°Ð½Ð¸Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ Ð¸Ð· Ð¿ÐµÑÐµÑÐ¸ÑÐ»ÐµÐ½Ð½ÑÑ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÐ¾Ð², Ð° ÑÐ°ÐºÐ¶Ðµ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¸Ñ Ð½Ð°Ð³ÑÑÐ·Ð¾ÑÐ½Ð¾Ð³Ð¾ ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð². Ð ÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð½ÑÐ¹ Ð¿Ð¾Ð´ÑÐ¾Ð´ Ðº Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ð¸ Ð¿ÐµÑÐµÑÐ¸ÑÐ»ÐµÐ½Ð½ÑÑ Ð·Ð°Ð´Ð°Ñ Ð¼Ð¾Ð¶ÐµÑ Ð±ÑÑÑ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½ Ð² Ð´ÑÑÐ³Ð¸Ñ Ð¿ÑÐµÐ´Ð¼ÐµÑÐ½ÑÑ Ð¾Ð±Ð»Ð°ÑÑÑÑ.
description: Final qualification work is devoted to research in the field of automated performance regression analysis of streaming storage system â Pravega. The work includes overview of existing research in the field of distributed storage performance, its key indicators were determined and the problems of their measurement were considered. The goal of the work is to reduce the complexity of streaming storage performance testing. In the course of the work, systems for performance benchmarking of Pravega, systems for collecting metrics various levels of test infrastructure, their visualization and storage were considered. Approaches for automation of build, configuration and deployment of each of the listed tools, as well as conduction of performance benchmarking and further analysis of its results were descried. The implemented approach to the automation of the listed tasks could be applied within other subject areas as well.