With the growth of the internet and exhaustion of IPv4 addresses, the allocation of IP addresses and routing between autonomous systems is an important factor on what paths are taken on the internet. Paths to different destinations are impacted by different neighbouring autonomous systems and their relations with eachother are important in order to find an optimal route from source to destination. In this thesis we look at a longitudinal change of IP observed on the internet that is owned by large organizations. To achieve this we build tools for extracting and parsing data from a dataset from iPlane where we then compare this to the largest domains and cloud providers. From our results we conclude that large domains and cloud providers are found more often as time has passed and they seem to not peer with eachother. We also find that the routing policies within different autonomous systems varies.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-190693 |
| Date | January 2022 |
| Creators | Girma Abera, Hyab, Grikainis, Gasparas |
| Publisher | Linköpings universitet, Institutionen för datavetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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