A dataset for buffering delays due to the interaction between the Nagle algorithm and the delayed acknowledgement algorithm in cyber-physical systems communication

In this article, we provide the research community with a dataset for the buffering delays that data packets experience at the TCP sending side in the realm of Cyber-Physical Systems (CPSs) and IoT. We focus on the buffering that occurs at the sender side due to the the adverse interaction between t...

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Autores principales:	Ahmad T. Al-Hammouri, Rasmus L. Olsen
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	IoT communication Real-time communication Sender-side delay TCP buffering Protocol parameter tuning Real-life operating systems Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/aa0c85e1f33c4f208a35e4c272d5bbbe
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spelling	oai:doaj.org-article:aa0c85e1f33c4f208a35e4c272d5bbbe2021-11-04T04:32:34ZA dataset for buffering delays due to the interaction between the Nagle algorithm and the delayed acknowledgement algorithm in cyber-physical systems communication2352-340910.1016/j.dib.2021.107530https://doaj.org/article/aa0c85e1f33c4f208a35e4c272d5bbbe2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352340921008064https://doaj.org/toc/2352-3409In this article, we provide the research community with a dataset for the buffering delays that data packets experience at the TCP sending side in the realm of Cyber-Physical Systems (CPSs) and IoT. We focus on the buffering that occurs at the sender side due to the the adverse interaction between the Nagle algorithm and the delayed acknowledgement algorithm, which both were originally introduced into TCP to prevent sending out many small-sized packets over the network. These two algorithms are turned on (enabled) by default in most operating systems.The dataset is collected using four real-life operating systems: Windows, Linux, FreeBSD, and QNX (a real-time operating system). In each scenario, there are three separate different (virtual) machines running various operating systems. One machine, or an end-host, acts a data source, another acts as a data sink, and a third acts a network emulator that introduces artificial propagation delays between the source and the destination.To measure buffering delay at the sender side, we record for each sent packet the two time instants: when the packet is first generated at the application layer, and when it is actually sent on the physical network. In each case, 10 different independent experiment replications/runs are executed.Here, we provide the full distribution of all delay samples represented by the cumulative distribution function (CDF), which is expressed mathematically byFX(x)=P(X≤x),where x is the delay measured in milliseconds, and P is the probability operator.The data exhibited here gives an impression of the amount and scale of the delay occurring at sender-side in TCP. More importantly, the data can be used to investigate the degree these delays affect the performance of cyber-physical systems and IoT or other real-time applications employing TCP.Ahmad T. Al-HammouriRasmus L. OlsenElsevierarticleIoT communicationReal-time communicationSender-side delayTCP bufferingProtocol parameter tuningReal-life operating systemsComputer applications to medicine. Medical informaticsR858-859.7Science (General)Q1-390ENData in Brief, Vol 39, Iss , Pp 107530- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	IoT communication Real-time communication Sender-side delay TCP buffering Protocol parameter tuning Real-life operating systems Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390
spellingShingle	IoT communication Real-time communication Sender-side delay TCP buffering Protocol parameter tuning Real-life operating systems Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390 Ahmad T. Al-Hammouri Rasmus L. Olsen A dataset for buffering delays due to the interaction between the Nagle algorithm and the delayed acknowledgement algorithm in cyber-physical systems communication
description	In this article, we provide the research community with a dataset for the buffering delays that data packets experience at the TCP sending side in the realm of Cyber-Physical Systems (CPSs) and IoT. We focus on the buffering that occurs at the sender side due to the the adverse interaction between the Nagle algorithm and the delayed acknowledgement algorithm, which both were originally introduced into TCP to prevent sending out many small-sized packets over the network. These two algorithms are turned on (enabled) by default in most operating systems.The dataset is collected using four real-life operating systems: Windows, Linux, FreeBSD, and QNX (a real-time operating system). In each scenario, there are three separate different (virtual) machines running various operating systems. One machine, or an end-host, acts a data source, another acts as a data sink, and a third acts a network emulator that introduces artificial propagation delays between the source and the destination.To measure buffering delay at the sender side, we record for each sent packet the two time instants: when the packet is first generated at the application layer, and when it is actually sent on the physical network. In each case, 10 different independent experiment replications/runs are executed.Here, we provide the full distribution of all delay samples represented by the cumulative distribution function (CDF), which is expressed mathematically byFX(x)=P(X≤x),where x is the delay measured in milliseconds, and P is the probability operator.The data exhibited here gives an impression of the amount and scale of the delay occurring at sender-side in TCP. More importantly, the data can be used to investigate the degree these delays affect the performance of cyber-physical systems and IoT or other real-time applications employing TCP.
format	article
author	Ahmad T. Al-Hammouri Rasmus L. Olsen
author_facet	Ahmad T. Al-Hammouri Rasmus L. Olsen
author_sort	Ahmad T. Al-Hammouri
title	A dataset for buffering delays due to the interaction between the Nagle algorithm and the delayed acknowledgement algorithm in cyber-physical systems communication
title_short	A dataset for buffering delays due to the interaction between the Nagle algorithm and the delayed acknowledgement algorithm in cyber-physical systems communication
title_full	A dataset for buffering delays due to the interaction between the Nagle algorithm and the delayed acknowledgement algorithm in cyber-physical systems communication
title_fullStr	A dataset for buffering delays due to the interaction between the Nagle algorithm and the delayed acknowledgement algorithm in cyber-physical systems communication
title_full_unstemmed	A dataset for buffering delays due to the interaction between the Nagle algorithm and the delayed acknowledgement algorithm in cyber-physical systems communication
title_sort	dataset for buffering delays due to the interaction between the nagle algorithm and the delayed acknowledgement algorithm in cyber-physical systems communication
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/aa0c85e1f33c4f208a35e4c272d5bbbe
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A dataset for buffering delays due to the interaction between the Nagle algorithm and the delayed acknowledgement algorithm in cyber-physical systems communication

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