Mahimahi: A lightweight toolkit for reproducible web measurement

Ravi Netravali, Anirudh Sivaraman, Keith Winstein, Somak Das, Ameesh Goyal, Hari Balakrishnan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

This demo presents a measurement toolkit, Mahimahi, that records websites and replays them under emulated network conditions. Mahimahi is structured as a set of arbitrarily composable UNIX shells. It includes two shells to record and replay Web pages, RecordShell and ReplayShell, as well as two shells for network emulation, DelayShell and LinkShell. In addition, Mahimahi includes a corpus of recorded websites along with benchmark results and link traces (https://github.com/ravinet/sites). Mahimahi improves on prior record-and-replay frameworks in three ways. First, it preserves the multi-origin nature of Web pages, present in approximately 98% of the Alexa U.S. Top 500, when replaying. Second, Mahimahi isolates its own network traffic, allowing multiple instances to run concurrently with no impact on the host machine and collected measurements. Finally, Mahimahi is not inherently tied to browsers and can be used to evaluate many different applications. A demo of Mahimahi recording and replaying a Web page over an emulated link can be found at http://youtu.be/ vytwDKBA-8s. The source code and instructions to use Mahimahi are available at http://mahimahi.mit.edu/.

Original languageEnglish (US)
Title of host publicationSIGCOMM 2014 - Proceedings of the 2014 ACM Conference on Special Interest Group on Data Communication
PublisherAssociation for Computing Machinery
Pages129-130
Number of pages2
ISBN (Print)9781450328364
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 ACM Conference on Special Interest Group on Data Communication, SIGCOMM 2014 - Chicago, IL, United States
Duration: Aug 17 2014Aug 22 2014

Publication series

NameSIGCOMM 2014 - Proceedings of the 2014 ACM Conference on Special Interest Group on Data Communication

Other

Other2014 ACM Conference on Special Interest Group on Data Communication, SIGCOMM 2014
Country/TerritoryUnited States
CityChicago, IL
Period8/17/148/22/14

All Science Journal Classification (ASJC) codes

  • Computer Science Applications

Keywords

  • page load time
  • record-and-replay
  • web measurements

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