Accelerating Performance Inference over Closed Systems by Asymptotic Methods
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
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.