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The kyutech/interference dataset (v. 2015-06-16)
Measurements of HTTP requests over 802.11 in dense wireless classrooms
Contributed by Marat Zhanikeev.
The common wisdom tells one not to attach more than 5-10 wireless devices to an access point. This is a problem in wireless educational classes, one can get between 10 and 50 students in the same room. Such spaces are referred to as dense wireless networks. While there are several methods that can be used to deal with dense wireless environments, installing multiple APs and separating them by channel is arguably the most readily available method today. In 802.11g/n the practical advice is to assign CH1, CH5 and CH9 to the three APs. However, even in such environments, wireless channels can become congested. It was noticed that tablet terminals would often fail to complete HTTP requests or fail getting access to the wireless channel entirely. In order to deal with this reliability problem, educational webapps had to be updated in such a way that they would detect failed requests and repeat them multiple times until a valid reply comes back. This dataset contains measurements which can help model such environments and the related application logic. The dataset has slightly non-trivial metrics which described failed/repeated. The experiment was run over multiple parameters and with on-the-fly changes in the layout. The measurement itself was simple -- a web application (in browser) on user terminal would send a GET request to the web server and would download bulk of a randomly selected size. All the performance metrics were recorded at user terminals and gradually uploaded to the server -- specifically, each new request would also contain the variables containing the results of the previous request, which had negligible effect on size but facilitated efficient log-keeping.
details of the kyutech/interference dataset (v. 2015-06-16)
This dataset contains the following traceset:
how to cite this dataset
When writing a paper that uses CRAWDAD datasets, we would appreciate it if you could cite both the authors of the dataset and CRAWDAD itself, and identify the exact dataset using the appropriate version number. For this dataset, this citation would look like:
We also provide bibliographic information in common citation formats below:
Marat Zhanikeev, CRAWDAD dataset kyutech/interference (v. 2015‑06‑16), downloaded from https://crawdad.org/kyutech/interference/20150616, https://doi.org/10.15783/C7T88W, Jun 2015.
If you do not use the provided citation formats, please include a reference with the same information, as described in the CRAWDAD FAQ.