Difference between revisions of "Dropbox Crawler"

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Download our datasets from here:
 
Download our datasets from here:
  
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{| class="wikitable" style="text-align: center; width: 400px; height: 40px;"
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|-
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! scope="col" | Name
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! scope="col" | File Size
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! scope="col" | Volunteers
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|-
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! scope="row" | [http://traces.simpleweb.org/dropbox/crawler/dropbox_crawler.tar.gz Crawler Dataset]
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| 219M || 333
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|}
  
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Some results derived from these data can be found in [http://eprints.eemcs.utwente.nl/24136/01/2013_drago_thesis.pdf here].
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In particular, the figures presented in Sect. 5.3 of the linked document are obtained using the
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scripts available in the folder "scripts" inside the tarball.
  
 
== How our data collection work? ==
 
== How our data collection work? ==
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Collected information is sent via plain HTTP to a centralized collection server.
 
Collected information is sent via plain HTTP to a centralized collection server.
 
 
 
== What our program DIDN'T do? ==
 
 
* Copy any file or folder out of computers
 
* Copy any other information than what is listed above
 
* Install or store anything
 
 
We also release the source code of our program. Recompile it on your own -- and improve it :)
 
  
 
== Client source code ==
 
== Client source code ==

Revision as of 10:33, 9 May 2014

Personal cloud storage is becoming more and more popular, with Dropbox certainly being the best known example. It generates a huge amount of Internet traffic, but how does it works? How is it used? What are the possible improvements?

We have been doing research on the usage of Dropbox (see our results here). In this experiment, we collected basic statistics of what files are stored in Dropbox folders.

Datasets

Download our datasets from here:

Name File Size Volunteers
Crawler Dataset 219M 333

Some results derived from these data can be found in here.

In particular, the figures presented in Sect. 5.3 of the linked document are obtained using the scripts available in the folder "scripts" inside the tarball.

How our data collection work?

  • It scans Dropbox folders
  • Calculates basic statistics
  • Shows what has been collected for approval
  • Sends the statistics to us

What has been logged?

For each file/folder in a Dropbox, the program collects:

* Size in bytes
* Last modification time
* Mime type of the file
* File extension
* MD5 Hash of both initial and final 8 kbytes of the file
* MD5 Hash of the file name/path

The program also sends to us:

* MD5 Hash of Dropbox configuration files (or MAC address if we cannot read the former)
* MD5 Hash of the path of your Dropbox home folder
* Your IP address and operating system version
* Error logs, in case something goes wrong during the data collection

Collected information is sent via plain HTTP to a centralized collection server.

Client source code

Download the source code by clicking here for the native versions (you will need Python 2.7 and PyInstaller for building these versions), or here for the Java version.

More information

The datasets in this page are used in the following publications:

 @phdthesis{drago_understanding_2013,
         author       = {Idilio Drago},
         title        = {Understanding and Monitoring Cloud Services},
         school       = {University of Twente},
         url          = {\url{http://eprints.eemcs.utwente.nl/24136/}},
         year         = {2013},
 },
 @inproceedings{drago_caracterizacao_2013,
         author       = {Idilio Drago and Alex Borges Vieira and Ana Paula Couto da Silva},
         title        = {Caracteriza{\c c}{\~a}o dos Arquivos Armazenados no Dropbox},
         booktitle    = {Anais do Workshop de Redes {P2P}, Din{\^a}micas, Sociais e Orientadas a Conte{\'u}do},
         series       = {{WP2P+}},
         pages        = {109--114},
         year         = {2013},
 },


More information

  • More information about our work is found on this paper:

Drago, I. and Mellia, M. and Munafò, M. M. and Sperotto, A. and Sadre, R. and Pras, A. (2012) Inside Dropbox: Understanding Personal Cloud Storage Services. Proceedings of the 12th ACM Internet Measurement Conference - IMC'12, Boston, Nov. 2012

  • This page has more information about the data we used in our research so far.


External Links

These institutes involved in this research: