User:Roelroscama/trim1/protoyping: Difference between revisions
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== Description == | == Description == | ||
Based on the texts discussed during the RW&R Methodologies class I started to become interested by the physical aspects of the internet. The fact that packets travel from server to server and in this process might travel through different countries. In these different countries data crosses laws might apply that say your data packets are to be monitored. To this I wanted to map the different servers one visits before he reaches a certain website. This can be done using the shell command traceroute, which will output the server routing data in a regular format. Using python I then tried to convert the data into something that can be visualized using Graphviz's DOT language. | Based on the texts discussed during the RW&R Methodologies class I started to become interested by the physical aspects of the internet. The fact that packets travel from server to server and in this process might travel through different countries. In these different countries data crosses laws might apply that say your data packets are to be monitored. To this I wanted to map the different servers one visits before he reaches a certain website. This can be done using the shell command traceroute, which will output the server routing data in a regular format. Using python and the pygeoip library I then tried to link the IP adresses to countries and convert the data into something that can be visualized using Graphviz's DOT language. | ||
== Media == | == Media == | ||
Revision as of 15:56, 9 December 2012
Roel Roscam Abbing, Trimester I, 2012
Traceroute maps
Description
Based on the texts discussed during the RW&R Methodologies class I started to become interested by the physical aspects of the internet. The fact that packets travel from server to server and in this process might travel through different countries. In these different countries data crosses laws might apply that say your data packets are to be monitored. To this I wanted to map the different servers one visits before he reaches a certain website. This can be done using the shell command traceroute, which will output the server routing data in a regular format. Using python and the pygeoip library I then tried to link the IP adresses to countries and convert the data into something that can be visualized using Graphviz's DOT language.
Media
Photos
Essay
Abstract and bibs/ref + link to PDF (PDF must be uploaded to wiki).
Use Steve's recommendations for abstract length and bibliographic style.
Additional Information
non optional
- One page itemised budget estimate
optional
- Project URL (if lives on an external site)
- extra wiki links (in case you have relevant notes/journals/documentation in your User: page, this is useful particularly if you have been asked to articulate further or refine your project during your assessment)
- Animated GIFs