FaaS Forecasting: Predicting Runtime & Cost with Machine Learning in Orama Framework

SSRN Electronic Journal 2026 Preprint Open access

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Authors: Leonardo Rebouças De Carvalho, Geraldo Rocha Filho, Aletéia Patricia Favacho de Araújo
DOI: 10.2139/ssrn.6223459
Cited by: 0
References: 21

Fields of Study & Subjects

Cloud Computing and Resource Management Software System Performance and Reliability Software Engineering Research

Publication details

Journal / source
SSRN Electronic Journal
Publication date
1 January 2026
Language
EN
Document type
Preprint