Measuring web similarity from dual-stacked hosts

Eravuchira, Steffie Jacob; Bajpai, Vaibhav; Schönwälder, Jürgen; Crawford, Sam

doi:10.1109/cnsm.2016.7818415

Cited by 9 publications

(13 citation statements)

References 16 publications

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“…Tools to measure and monitor network and web performance have also been developed. These include browser-based [50], [51], headless web clients [9], [52], host measurements annotated with user perception [53] and HTTP-based application replaying [54] tools. For instance, Hora et al [55] implemented (as a Google Chrome extension) a lightweight tool to approximate the ATF time using the browser heuristics.…”

Section: Related Workmentioning

confidence: 99%

Measuring Web Latency and Rendering Performance: Method, Tools, and Longitudinal Dataset

Asrese

Eravuchira²,

Bajpai

et al. 2019

IEEE Trans. Netw. Serv. Manage.

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This paper presents Webget, a measurement tool that measures web Quality of Service (QoS) metrics including the DNS lookup time, time to first byte (TTFB) and the download time. Webget also captures web complexity metrics such as the number and the size of objects that make up the website. We deploy the Webget test to measure the web performance of Google, YouTube, and Facebook from 182 SamKnows probes. Using a 3.5year-long (Jan 2014-Jul 2017) dataset, we show that the DNS lookup time of these popular Content Delivery Networks (CDNs) and the download time of Google have improved over time. We also show that the TTFB towards Facebook exhibits worse performance than the Google CDN. Moreover, we show that the number and the size of objects are not the only factors that affect the web download time. We observe that these webpages perform differently across regions and service providers. We also developed a web measurement system, WePR (Web Performance and Rendering) that measures the same web QoS and complexity metrics as Webget, but it also captures the web Quality of Experience (QoE) metrics such as rendering time. WePR has a distributed architecture where the component that measures the web QoS and complexity metrics is deployed on the SamKnows probe, while the rendering time is calculated on a central server. We measured the rendering performance of four websites. We show that in 80% of the cases, the rendering time of the websites is faster than the downloading time. The source code of the WePR system and the dataset is made publicly available.

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Section: Related Workmentioning

confidence: 99%

Measuring Web Latency and Rendering Performance: Method, Tools, and Longitudinal Dataset

Asrese

Eravuchira²,

Bajpai

et al. 2019

IEEE Trans. Netw. Serv. Manage.

Self Cite

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“…Pada penelitian [12], peneliti mencoba untuk menguji aksesibilitas dari web aplikasi yang tentu masih jarang dilakukan dalam pengujian performa web. Untuk Penelitian Evaluasi, terdapat lima artikel penelitan yang mencoba mengevaluasi teknik sekaligus mengimplementasikan ke dalam perangkat uji coba oleh peneliti [24], [25], dan [27]- [29].…”

Section: Gambar 1 Proses Yang Dilakukan Untuk Memperoleh Paper Systeunclassified

“…Namun, pada penelitian [13], [15], [20]- [22], [24], dan [28], pengujian juga telah dilakukan pada web riil selain menggunakan simulasi. Peneliti [13] [24] juga menggunakan 100 website dari daftar Alexa untuk menguji kesamaan konten website dalam beberapa kategori. Peneliti [28] menggunakan website dari Sistem Administrasi pada Wuhan Landscaping Bureau untuk dilakukan pengujian performa dengan perspektif pengguna.…”

Section: Rq3 Apakah Web Performance Testing Telah Diaplikasikan Dalaunclassified

Pengujian Aplikasi Web - Tinjauan Pustaka Sistematis

Pamungkas

Rochimah

2019

Media Komunikasi Teknologi

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Web-based applications in the past few decades have experienced very rapid development. The use of technology in software engineering for web application development has also increased several changes following the needs of the community. Web applications that are built required testing so that there are no problems that can disrupt services and information. In software engineering, performance testing holds an important role in overcoming problems in developing web applications. Many studies related to performance testing have been carried out in the past few years. This research discusses studies that have been published in the form of journal articles and conference proceedings in the period 2012-2017. This research selects 22 research articles related to Web Application Testing. Then divided into several categories and do reviews of each of these categories. It is expected that the results of the discussion can be parsed in detail so that in the future related research will get valuable direction and resources. The systematic literature review of this paper concludes that 68% of studies related to testing are Load-Tests and 32% other tests. Trend testing leading to the ability of the web to load information is now more emphasized following the needs of software engineering testing in web applications.

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“…As redirections are followed, the comparison is done according to the visited (and not requested) pages. Although the definition is a simplification [5], it is commonly used [10,32] and adequate for the paper's purposes.…”

Section: Datamentioning

confidence: 99%

Invisible Pixels Are Dead, Long Live Invisible Pixels!

Ruohonen

Leppänen

2018

Proceedings of the 2018 Workshop on Privacy in the Electronic Society

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Privacy has deteriorated in the world wide web ever since the 1990s. The tracking of browsing habits by different third-parties has been at the center of this deterioration. Web cookies and so-called web beacons have been the classical ways to implement third-party tracking. Due to the introduction of more sophisticated technical tracking solutions and other fundamental transformations, the use of classical image-based web beacons might be expected to have lost their appeal. According to a sample of over thirty thousand images collected from popular websites, this paper shows that such an assumption is a fallacy: classical 1×1 images are still commonly used for third-party tracking in the contemporary world wide web. While it seems that ad-blockers are unable to fully block these classical image-based tracking beacons, the paper further demonstrates that even limited information can be used to accurately classify the thirdparty 1 × 1 images from other images. An average classification accuracy of 0.956 is reached in the empirical experiment. With these results the paper contributes to the ongoing attempts to better understand the lack of privacy in the world wide web, and the means by which the situation might be eventually improved. CCS CONCEPTS• Security and privacy → Web protocol security;

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Measuring web similarity from dual-stacked hosts

Cited by 9 publications

References 16 publications

Measuring Web Latency and Rendering Performance: Method, Tools, and Longitudinal Dataset

Measuring Web Latency and Rendering Performance: Method, Tools, and Longitudinal Dataset

Pengujian Aplikasi Web - Tinjauan Pustaka Sistematis

Invisible Pixels Are Dead, Long Live Invisible Pixels!

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