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A Reference Architecture for Online Performance Model Extraction in Virtualized Environments

Published: 12 March 2016 Publication History

Abstract

Performance models can support decisions throughout the life-cycle of a software system. However, the manual construction of such performance models is a complex and time-consuming task requiring deep system knowledge. Therefore, automatic approaches for creating and updating performance models of a running system are necessary. Existing work focuses on single aspects of model extraction or proposes approaches specifically designed for a certain technology stack. In virtualized environments, we often see different applications based on diverse technology stacks sharing the same infrastructure. In order to enable online performance model extraction in such environments, we describe a new reference architecture for integrating different specialized model extraction solutions.

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Cited By

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  • (2024)Architectural support for software performance in continuous software engineeringJournal of Systems and Software10.1016/j.jss.2023.111833207:COnline publication date: 1-Jan-2024
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  • (2021)Towards Extraction of Message-Based Communication in Mixed-Technology Architectures for Performance ModelCompanion of the ACM/SPEC International Conference on Performance Engineering10.1145/3447545.3451201(133-138)Online publication date: 19-Apr-2021
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Published In

cover image ACM Conferences
ICPE '16 Companion: Companion Publication for ACM/SPEC on International Conference on Performance Engineering
March 2016
86 pages
ISBN:9781450341479
DOI:10.1145/2859889
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 12 March 2016

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Author Tags

  1. architecture-level performance model
  2. model extraction
  3. model learning

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  • Research-article

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  • Deutsche Forschungsgemeinschaft (DFG)

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ICPE'16

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ICPE '16 Companion Paper Acceptance Rate 19 of 57 submissions, 33%;
Overall Acceptance Rate 252 of 851 submissions, 30%

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Cited By

View all
  • (2024)Architectural support for software performance in continuous software engineeringJournal of Systems and Software10.1016/j.jss.2023.111833207:COnline publication date: 1-Jan-2024
  • (2023)Performance Evaluation of an API Stock Exchange Web System on Cloud Docker ContainersApplied Sciences10.3390/app1317989613:17(9896)Online publication date: 1-Sep-2023
  • (2021)Towards Extraction of Message-Based Communication in Mixed-Technology Architectures for Performance ModelCompanion of the ACM/SPEC International Conference on Performance Engineering10.1145/3447545.3451201(133-138)Online publication date: 19-Apr-2021
  • (2020)iModelACM Transactions on Modeling and Performance Evaluation of Computing Systems10.1145/33742205:2(1-30)Online publication date: 5-Mar-2020
  • (2020)Incremental Calibration of Architectural Performance Models with Parametric Dependencies2020 IEEE International Conference on Software Architecture (ICSA)10.1109/ICSA47634.2020.00011(23-34)Online publication date: Mar-2020
  • (2020)Optimizing Parametric Dependencies for Incremental Performance Model ExtractionSoftware Architecture10.1007/978-3-030-59155-7_17(228-240)Online publication date: 7-Sep-2020
  • (2019)ChameleonIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2018.287038930:4(800-813)Online publication date: 1-Apr-2019
  • (2018)Continuous Integration of Performance ModelCompanion of the 2018 ACM/SPEC International Conference on Performance Engineering10.1145/3185768.3186285(153-158)Online publication date: 2-Apr-2018
  • (2017)An Expandable Extraction Framework for Architectural Performance ModelsProceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion10.1145/3053600.3053634(165-170)Online publication date: 18-Apr-2017
  • (2017)Performance Modeling Using Queueing Petri NetsComputer Networks10.1007/978-3-319-59767-6_26(321-335)Online publication date: 30-May-2017
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