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.File | Dimensione | Formato | |
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