Treffer: Accelerating Performance Inference over Closed Systems by Asymptotic Methods
Title:
Accelerating Performance Inference over Closed Systems by Asymptotic Methods
Authors:
Publisher Information:
Zenodo
Publication Year:
2017
Collection:
Zenodo
Subject Terms:
Document Type:
dataset
Language:
unknown
Relation:
https://zenodo.org/communities/eu/; https://zenodo.org/records/546873; oai:zenodo.org:546873; https://doi.org/10.5281/zenodo.546873
DOI:
10.5281/zenodo.546873
Rights:
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number:
edsbas.89E31479
Database:
BASE
Weitere Informationen
This archive includes the research data associated to the paper: Giuliano Casale. Accelerating Performance Inference over Closed Systems by Asymptotic Methods. Proc. ACM Meas. Anal. Comput. Syst., 1(1), 2017. The paper is accepted for presentation at ACM SIGMETRICS 2017. The research data requires MATLAB 2015a or later. Four datasets are included, each corresponding to a section of the paper: - sec5.3.1: Small and medium models without infinite server nodes (Section 5.3.1) - sec5.3.2: Large models without infinite server nodes (Section 5.3.2) - sec5.3.3: Models with infinite server nodes (Section 5.3.3) - sec5.4: Optimization programs (Section 5.4) A description of each dataset is included in the README.TXT file inside each folder.