A Hybrid Automatic Elasticity Solution for the IaaS Layer based on Dynamic Thresholds and Time Series.

Autor:	Gervásio, Italo, Castro, Klayton, Araújo, Aleteia P. F.
Předmět:	CLOUD computing ELASTICITY HYBRID systems TIME series analysis DYNAMIC models
Zdroj:	CISTI (Iberian Conference on Information Systems & Technologies / Conferência Ibérica de Sistemas e Tecnologias de Informação) Proceedings; 2020, p1-6, 6p
Abstrakt:	Currently, the most popular auto-elastic solutions at cloud computing providers are rule-based solutions with fixed thresholds. However, these solutions struggle with two main pain key points: reactive nature and hard configuration issues. In this paper, we propose a hybrid auto-scaling approach that overcomes the deficiencies of the solutions based on rules with fixed thresholds. The proposed auto-scaling consists is a hybrid approach, consisting of a set of self-adaptive predictions and reactive component-based dynamic thresholds. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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