Optimizing Service Level Agreement Tier Selection in Online Services Through Legacy Lifecycle Profile and Support Analysis: A Quantitative Approach

Optimizing Service Level Agreement Tier Selection in Online Services Through Legacy Lifecycle Profile and Support Analysis: A Quantitative Approach

This study introduces a novel approach to optimal Service Level Agreement (SLA) tier selection in online services by incorporating client-side obsolescence factors into effective SLA planning. We analyze a comprehensive dataset of 600 million records collected over four years, focusing on the lifecy...

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Bibliographic Details
Main Authors: Geza Lucz, Bertalan Forstner
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Mathematics
Subjects:
network security
infrastructure scaling
exploit management
planned obsolescence
SLA and resource management
browser lifecycle
Online Access:https://www.mdpi.com/2227-7390/13/11/1743
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