Performance Exploration Dataset

Kuvaus

The dataset is created to benchmark performance exploration approaches. We have injected synthetic performance bottlenecks into the source code of the RUBiS web application as delays that are triggered on certain input combinations. The total number of input combinations is 3,100,000, and the bottlenecks roughly cover 9% of the total input combinations. We have created two variants of the RUBiS web application. In RUBiS(uni), the bottlenecks are uniformly distributed, and the bottlenecks are widely spread over the entire input space. Meanwhile, in RUBiS(poi), we have used Poisson distribution. In the case of RUBiS(poi), as opposed to RUBiS(uni), the bottlenecks are packed together in the input space. The dataset folder contains bottleneck distributions of RUBiS(poi) and RUBiS(uni). The first four columns of the *_exhaustive_data_dump.csv CSV files contain the values of the input variables: category id, region id, item id, and user id. The fifth column, named bottleneck, indicates whether a certain combination is a bottleneck. If the value is 1, then the corresponding combination is a bottleneck. The CSV files in the experiment folder contain the cumulative number of bottlenecks identified by iPerfXRL after executing the 775,000 input combinations for RUBiS(poi) and RUBiS(uni).
Näytä enemmän

Julkaisuvuosi

2020

Aineiston tyyppi

Tekijät

Zenodo - Julkaisija

Dragos Truscan Orcid -palvelun logo - Tekijä

Tanwir Ahmad Orcid -palvelun logo - Tekijä

Projekti

Muut tiedot

Tieteenalat

Tietojenkäsittely ja informaatiotieteet

Kieli

Saatavuus

Avoin

Lisenssi

Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)

Avainsanat

performance exploration

Asiasanat

Ajallinen kattavuus

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