GHTraffic: A Dataset for Reproducible Research in Service-Oriented Computing

TL;DR

GHTraffic is a large, curated dataset of HTTP transactions from GitHub, designed to enable reproducible research in service-oriented computing by providing real and synthetic data along with analysis tools.

Contribution

This paper introduces GHTraffic, a comprehensive dataset with construction methods and metrics, supporting reproducible research in service-oriented computing.

Findings

GHTraffic includes extensive real and synthetic HTTP transaction data.

The dataset supports diverse research use cases in service-oriented computing.

Metrics characterize the dataset's scope and utility.

Abstract

We present GHTraffic, a dataset of significant size comprising HTTP transactions extracted from GitHub data and augmented with synthetic transaction data. The dataset facilitates reproducible research on many aspects of service-oriented computing. This paper discusses use cases for such a dataset and extracts a set of requirements from these use cases. We then discuss the design of GHTraffic, and the methods and tool used to construct it. We conclude our contribution with some selective metrics that characterise GHTraffic.