Mahimahi: A Lightweight Toolkit for Reproducible Web Measurement
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 shel...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Association for Computing Machinery (ACM)
2015
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| Online Access: | http://hdl.handle.net/1721.1/99719 https://orcid.org/0000-0003-3816-3713 https://orcid.org/0000-0002-1455-9652 https://orcid.org/0000-0003-4034-0918 |
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| author | Winstein, Keith Das, Somak Goyal, Ameesh Balakrishnan, Hari Netravali, Ravi Arun Sivaraman Kaushalram, Anirudh |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Winstein, Keith Das, Somak Goyal, Ameesh Balakrishnan, Hari Netravali, Ravi Arun Sivaraman Kaushalram, Anirudh |
| author_sort | Winstein, Keith |
| collection | MIT |
| description | 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/. |
| first_indexed | 2024-09-23T10:44:36Z |
| format | Article |
| id | mit-1721.1/99719 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:44:36Z |
| publishDate | 2015 |
| publisher | Association for Computing Machinery (ACM) |
| record_format | dspace |
| spelling | mit-1721.1/997192022-09-30T22:40:40Z Mahimahi: A Lightweight Toolkit for Reproducible Web Measurement Winstein, Keith Das, Somak Goyal, Ameesh Balakrishnan, Hari Netravali, Ravi Arun Sivaraman Kaushalram, Anirudh Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Netravali, Ravi Arun Sivaraman Kaushalram, Anirudh Winstein, Keith Das, Somak Goyal, Ameesh Balakrishnan, Hari 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/. 2015-11-04T17:40:06Z 2015-11-04T17:40:06Z 2014-08 Article http://purl.org/eprint/type/ConferencePaper 9781450328364 http://hdl.handle.net/1721.1/99719 Ravi Netravali, Anirudh Sivaraman, Keith Winstein, Somak Das, Ameesh Goyal, and Hari Balakrishnan. 2014. Mahimahi: a lightweight toolkit for reproducible web measurement. In Proceedings of the 2014 ACM conference on SIGCOMM (SIGCOMM '14). ACM, New York, NY, USA, 129-130. https://orcid.org/0000-0003-3816-3713 https://orcid.org/0000-0002-1455-9652 https://orcid.org/0000-0003-4034-0918 en_US http://dx.doi.org/10.1145/2619239.2631455 Proceedings of the 2014 ACM conference on SIGCOMM (SIGCOMM '14) Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery (ACM) MIT web domain |
| spellingShingle | Winstein, Keith Das, Somak Goyal, Ameesh Balakrishnan, Hari Netravali, Ravi Arun Sivaraman Kaushalram, Anirudh Mahimahi: A Lightweight Toolkit for Reproducible Web Measurement |
| title | Mahimahi: A Lightweight Toolkit for Reproducible Web Measurement |
| title_full | Mahimahi: A Lightweight Toolkit for Reproducible Web Measurement |
| title_fullStr | Mahimahi: A Lightweight Toolkit for Reproducible Web Measurement |
| title_full_unstemmed | Mahimahi: A Lightweight Toolkit for Reproducible Web Measurement |
| title_short | Mahimahi: A Lightweight Toolkit for Reproducible Web Measurement |
| title_sort | mahimahi a lightweight toolkit for reproducible web measurement |
| url | http://hdl.handle.net/1721.1/99719 https://orcid.org/0000-0003-3816-3713 https://orcid.org/0000-0002-1455-9652 https://orcid.org/0000-0003-4034-0918 |
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