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Improving Service Availabiliy with Rule-Based Adaptation

dc.contributor.authorAdolf, Marc
dc.contributor.authorJung, Reiner
dc.contributor.authorBlümke, Lars
dc.contributor.editorKelter, Udo
dc.date.accessioned2023-02-27T13:46:47Z
dc.date.available2023-02-27T13:46:47Z
dc.date.issued2019
dc.description.abstractSelf-adaptive software systems change their deployment and configuration to address changing user behavior and workloads. Such systems follow a MAPEK approach to observe and analyze the system, and subsequently plan and execute changes. They use operations, like the (de-)replication and migration of components, to reconfigure the system. During an adaptation, some services might become unavailable when services are replicated or migrated arbitrarily. This can cause interruptions to cross service transactions and temporary service malfunctions. While some E-commerce platforms consider this acceptable, it is irritating to the consumer. In case of safety critical systems, like medication systems, the system must be serviceable during the transition from the old to the new configuration. In this paper, we present a rule-based approach for adaptation actions. Our approach allows to address adaptation constraints on a abstract level and decouples the constrains from setup scripts often used in container environments. Furthermore, we evaluated the feasibility of our approach and illustrate its ability to adapt a component based web system safely.en
dc.identifier.pissn0720-8928
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/40476
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftwaretechnik-Trends Band 39, Heft 3
dc.relation.ispartofseriesSoftwaretechnik-Trends
dc.subjectSelf-adaptive software
dc.subjectreconfiguration
dc.subjectrule-based approach
dc.titleImproving Service Availabiliy with Rule-Based Adaptationen
dc.typeText/Conference Paper
gi.citation.endPage24
gi.citation.publisherPlaceBonn
gi.citation.startPage22
gi.conference.date8.-9. November 2018
gi.conference.locationHildesheim
gi.conference.sessiontitle9th Symposium on Software Performance (SSP 2018)

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