Treffer: Quantifying and Predicting the Influence of Execution Platform on Software Component Performance
Title:
Quantifying and Predicting the Influence of Execution Platform on Software Component Performance
Authors:
Contributors:
Reussner, R.
Source:
ISSN: 1867-0067.
Publisher Information:
KIT Scientific Publishing, Karlsruhe
Publication Year:
2010
Collection:
KITopen (Karlsruhe Institute of Technologie)
Subject Terms:
Document Type:
Dissertation
doctoral or postdoctoral thesis
File Description:
application/pdf
Language:
English
Relation:
The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner; info:eu-repo/semantics/altIdentifier/isbn/978-3-86644-741-7; info:eu-repo/semantics/altIdentifier/issn/1867-0067; https://publikationen.bibliothek.kit.edu/1000024301; https://publikationen.bibliothek.kit.edu/1000024301/1905075; https://doi.org/10.5445/KSP/1000024301
DOI:
10.5445/KSP/1000024301
Availability:
Rights:
https://creativecommons.org/licenses/by-nc-nd/3.0/de/ ; info:eu-repo/semantics/openAccess
Accession Number:
edsbas.69232D9
Database:
BASE
Weitere Informationen
The performance of software components depends on several factors, including the execution platform on which the software components run. To simplify cross-platform performance prediction in relocation and sizing scenarios, a novel approach is introduced in this thesis which separates the application performance profile from the platform performance profile. The approach is evaluated using transparent instrumentation of Java applications and with automated benchmarks for Java Virtual Machines.