$An improved Brown's method applying fractal dimension to forecast the load in a computing cluster for short time series$

An improved Brown's method applying fractal dimension to forecast the load in a computing cluster for short time series

Background/Objectives: The study considers the class of short time series possessing persistency. The investigation is focused on selecting and adapting mathematical tools to forecast such type of time series. Methods/Statistical Analysis: Adaptive prediction models are capable of adjusting their st...

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書誌詳細
主要な著者:	Kopytov, V. V., Копытов, В. В., Petrenko, V. I., Петренко, В. И., Tebueva, F. B., Тебуева, Ф. Б., Streblianskaia, N. V., Стреблянская, Н. В.
フォーマット:	Статья
言語:	English
出版事項:	Indian Society for Education and Environment 2018
主題:	Brown's method Fractal dimension Hurst exponent Persistency Short time series
オンライン･アクセス:	https://www.scopus.com/record/display.uri?eid=2-s2.0-84971501129&origin=resultslist&sort=plf-f&src=s&nlo=&nlr=&nls=&sid=e6027f3d604647eb3ce871ed4c40d556&sot=aff&sdt=cl&cluster=scopubyr%2c%222016%22%2ct&sl=174&s=AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29+OR+AF-ID%28%22Stavropol+State+University%22+60070961%29+OR+AF-ID%28%22stavropolskij+Gosudarstvennyj+Tehniceskij+Universitet%22+60026323%29&relpos=60&citeCnt=3&searchTerm= https://dspace.ncfu.ru/handle/20.500.12258/3269
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