A multi-context Severity-based SLO Violation Detector
Ανδρέας Τσαγκαρόπουλος, Yiannis Verginadis, Gregoris N. Mentzas · 2024
As cloud computing continuum services become ever more important, the need of platforms that facilitate and manage their proper operation is unquestionable. An integral part of these platforms is a series of tools which will complement day one and day two operations in the context of the application software lifecycle. This work introduces an approach towards a Service Level Objective (SLO) Violation Detection system, based on the perceived Severity of an imminent or predicted violation. This system leverages insights to stay operational and triggers appropriate reconfiguration actions by continuously considering the required conditions of good operation. The detailed architecture of the system, its operation overview as well as the required interactions with other components – parts of an adaptation ecosystem of a cloud platform, are provided. Finally, potential future improvements are discussed. Keywords—application reconfiguration, modelling, elasticity, cloud computing, service adaptation