Development of Unsupervised Telecom Customers Clustering Model using Customer Detail Records (CDR) the Case of Ethiotelecom
| dc.contributor.advisor | Libsie, Mulugeta (PhD) | |
| dc.contributor.author | Banchalem Abebaw | |
| dc.date.accessioned | 2022-01-03T12:45:09Z | |
| dc.date.accessioned | 2023-11-29T04:06:28Z | |
| dc.date.available | 2022-01-03T12:45:09Z | |
| dc.date.available | 2023-11-29T04:06:28Z | |
| dc.date.issued | 2017-03-15 | |
| dc.description.abstract | IPv6 is the new version of Internet protocol developed by IETF. This new version is developed especially to resolve some issues of IPv4 like scalability, performance and reliability. Although new version is ready for usage, it is obvious that it will take years to transit fully from IPv4 to IPv6. We have to use these two versions together for a long time. Therefore, we have to investigate and know the transition mechanisms that we can use during the transition period to achieve a transition with minimum complication. ethio telecom has an IPv4 only enabled core network. For any LAN segment in Ethiopia to have an IPv6 enabled service over ethio telecom’s existing core network, a mechanism should be chosen and applied to avail IPv6 services. This thesis analyzes IPv6 Provider Edge (6PE) as an IPv4 to IPv6 transition mechanism. Here an attempt has been made to evaluate the suitability of the mechanism to the current ethio telecom core network. Comparisons are also done with other introductory mechanisms. Configurations and designing logical scenarios are done to demonstrate the 6PE. Graphical Network Simulator (GNS3) is used as a tool to simulate the scenarios. The route learning as well as route distributions of the IPv6 LANs is evaluated as a result of the tests done with GNS. The outcomes of the thesis are important for providing an insight for choosing an appropriate mechanism for ethio telecom and an idea about network capacity planning and step by step migration to IPv6. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/123456789/29463 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | IPv6 | en_US |
| dc.subject | IPv4 | en_US |
| dc.subject | 6PE | en_US |
| dc.subject | GNS | en_US |
| dc.title | Development of Unsupervised Telecom Customers Clustering Model using Customer Detail Records (CDR) the Case of Ethiotelecom | en_US |
| dc.type | Thesis | en_US |