Logo des Repositoriums
 

Full-Stack Performance Model Evaluation using Probabilistic Garbage Collection Simulation

Kurzanzeige
dc.contributor.authorWillnecker, Felix
dc.contributor.authorKoch-Kemper, Bernhard
dc.date.accessioned2023-03-13T10:09:55Z
dc.date.available2023-03-13T10:09:55Z
dc.date.issued2015
dc.description.abstractPerformance models can represent the performance relevant aspects of an enterprise application. Corresponding simulation engines use such models for simulating performance metrics (e.g., response times, resource utilization, throughput) and allow for performance evaluations without load testing the actual system. Creating such models manually often outweighs their benefits. Therefore, recent research created performance model generators, which can generate such models out of Application Performance Management software. However, a full-stack evaluation containing all relevant resources of an enterprise application (Central Processing Unit, memory, network and Hard Disk Drive) has not been conducted to the best of our knowledge. This work closes this gap using a pre-release version of the next generation industry benchmark SPECjEnterpriseNEXT of the Standard Performance Evaluation Corporation as example enterprise application, the Palladio Component Model as performance model and the performance model generator of the RETIT Capacity Manager. Furthermore, this work extends the generated model with a probabilistic garbage collection model to simulate memory allocation and releases more accurately.en
dc.identifier.pissn0720-8928
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/40775
dc.language.isoen
dc.publisherGeselllschaft für Informatik e.V.
dc.relation.ispartofSoftwaretechnik-Trends Band 35, Heft 3
dc.subjectmeasurement techniques
dc.subjectmodeling techniques
dc.titleFull-Stack Performance Model Evaluation using Probabilistic Garbage Collection Simulationen
dc.typeText/Journal Article
gi.citation.publisherPlaceBonn
gi.conference.sessiontitleSonderteil: Proceedings of the Symposium on Software Performance (SSP) 2015, 4. - 6. November 2015, Munich, Germany

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
SSP_2015_paper_15.pdf
Größe:
81.69 KB
Format:
Adobe Portable Document Format
Herunterladen

Sammlungen

Softwaretechnik-Trends 35(3) - 2015