Comparing the Accuracy of Resource Demand Measurement and Estimation Techniques-Reference-Cited by-同舟云学术

Comparing the Accuracy of Resource Demand Measurement and Estimation Techniques

Published:2015 Issue: Volume: Page:115-129
ISSN:0302-9743
Container-title:Computer Performance Engineering
language:
Short-container-title:

Author:

Willnecker Felix,Dlugi Markus,Brunnert Andreas,Spinner Simon,Kounev Samuel,Gottesheim Wolfgang,Krcmar Helmut

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-23267-6_8

Reference18 articles.

1. Becker, S., Koziolek, H., Reussner, R.: The Palladio Component Model for Model-Driven Performance Prediction. Journal of Systems and Software 82(1), 3–22 (2009). special Issue: Software Performance - Modeling and Analysis

2. Brosig, F., Gorsler, F., Huber, N., Kounev, S.: Evaluating approaches for performance prediction in virtualized environments. In: 2013 IEEE 21st International Symposium on Modeling, Analysis Simulation of Computer and Telecommunication Systems (MASCOTS), pp. 404–408, August 2013

3. Brosig, F., Kounev, S., Krogmann, K.: Automated extraction of palladio component models from running enterprise java applications. In: Proceedings of the 1st International Workshop on Run-time Models for Self-managing Systems and Applications (ROSSA 2009). ACM, New York (2009)

4. Brunnert, A., Krcmar, H.: Continuous Performance Evaluation and Capacity Planning Using Resource Profiles (under review). Journal of Systems and Software (2015)

5. Brunnert, A., Neubig, S., Krcmar, H.: Evaluating the Prediction Accuracy of Generated Performance Models in Up- and Downscaling Scenarios, pp. 113–130 (2014)

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring Sustainable Alternatives for the Deployment of Microservices Architectures in the Cloud;2024 IEEE 21st International Conference on Software Architecture (ICSA);2024-06-04

2. Green Software Metrics;Companion of the 15th ACM/SPEC International Conference on Performance Engineering;2024-05-07

3. SARDE;ACM Transactions on Autonomous and Adaptive Systems;2021-06

4. TeaStore: A Micro-Service Reference Application for Research Use;Systems Benchmarking;2020

5. Detecting Parametric Dependencies for Performance Models Using Feature Selection Techniques;2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS);2019-10