The collection, analysis, and processing of infrastructure information and telemetry data lie at the very heart of RECAP. This chapter describes the infrastructure for the acquisition and processing of data from applications and systems, and explains the methodology used to derive statistical and machine learning models from this data. These models are then used to identify relevant features and forecast future values, and thus inform run-time planning, decision making, and optimisation support at both the infrastructure and application levels. We conclude the chapter with an overview of RECAP data visualisation approaches.

RECAP Data Acquisition and Analytics Methodology / Casari, Paolo; Domaschka, Jörg; García Leiva, Rafael; Le Duc, Thang; Leznik, Mark; Närvä, Linus. - (2020), pp. 27-50. [10.1007/978-3-030-39863-7_2]

RECAP Data Acquisition and Analytics Methodology

Casari, Paolo;
2020-01-01

Abstract

The collection, analysis, and processing of infrastructure information and telemetry data lie at the very heart of RECAP. This chapter describes the infrastructure for the acquisition and processing of data from applications and systems, and explains the methodology used to derive statistical and machine learning models from this data. These models are then used to identify relevant features and forecast future values, and thus inform run-time planning, decision making, and optimisation support at both the infrastructure and application levels. We conclude the chapter with an overview of RECAP data visualisation approaches.
2020
Managing Distributed Cloud Applications and Infrastructure: A Self-Optimising Approach
Switzerland
Springer International Publishing
978-3-030-39863-7
Casari, Paolo; Domaschka, Jörg; García Leiva, Rafael; Le Duc, Thang; Leznik, Mark; Närvä, Linus
RECAP Data Acquisition and Analytics Methodology / Casari, Paolo; Domaschka, Jörg; García Leiva, Rafael; Le Duc, Thang; Leznik, Mark; Närvä, Linus. - (2020), pp. 27-50. [10.1007/978-3-030-39863-7_2]
File in questo prodotto:
File Dimensione Formato  
978-3-030-39863-7_2.pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Creative commons
Dimensione 891.27 kB
Formato Adobe PDF
891.27 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/290015
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact