Measuring Web Servers’ Popularity from an Endpoint

Ao Jan Su; Aleksandar Kuzmanovic

Measuring Web Servers’ Popularity from an Endpoint

Computer Science

Research output: Book/Report › Other report

Abstract

Understanding how popular (or not) a given Web service or application is, is an important question whose relevance only continues to grow with the Internet’s commercialization. We devise Endpoint Web Monitor (EWM), a novel method capable of measuring a Web server’s popularity directly from an endpoint. We implement the EWM system and demonstrate that it achieves high measurement accuracy and has a short convergence time which enables it to monitor the popularity trends over short time scales.

Original language	English (US)
Publisher	Northwestern University
Number of pages	15
State	Published - Oct 2015

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Cite this

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title = "Measuring Web Servers{\textquoteright} Popularity from an Endpoint",

abstract = "Understanding how popular (or not) a given Web service or application is, is an important question whose relevance only continues to grow with the Internet{\textquoteright}s commercialization. We devise Endpoint Web Monitor (EWM), a novel method capable of measuring a Web server{\textquoteright}s popularity directly from an endpoint. We implement the EWM system and demonstrate that it achieves high measurement accuracy and has a short convergence time which enables it to monitor the popularity trends over short time scales.",

author = "Su, {Ao Jan} and Aleksandar Kuzmanovic",

year = "2015",

month = oct,

language = "English (US)",

publisher = "Northwestern University",

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TY - BOOK

T1 - Measuring Web Servers’ Popularity from an Endpoint

AU - Su, Ao Jan

AU - Kuzmanovic, Aleksandar

PY - 2015/10

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AB - Understanding how popular (or not) a given Web service or application is, is an important question whose relevance only continues to grow with the Internet’s commercialization. We devise Endpoint Web Monitor (EWM), a novel method capable of measuring a Web server’s popularity directly from an endpoint. We implement the EWM system and demonstrate that it achieves high measurement accuracy and has a short convergence time which enables it to monitor the popularity trends over short time scales.

M3 - Other report

BT - Measuring Web Servers’ Popularity from an Endpoint

PB - Northwestern University

ER -

Measuring Web Servers’ Popularity from an Endpoint

Abstract

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