Transition from IPv4 to IPv6 : best transition method for large enterprise networks
Quynh Anh, Nguyen; Minh Nguyen, Nguyen Phu (2012)
Quynh Anh, Nguyen
Minh Nguyen, Nguyen Phu
Lahden ammattikorkeakoulu
2012
All rights reserved
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-201203163471
https://urn.fi/URN:NBN:fi:amk-201203163471
Tiivistelmä
On 8 June, 2011, over 1000 top websites in the world took part in an event called “World IPv6 Day”. As IPv4 are running out, the need for changing to IP next generation, IPv6 is obvious. This study aims at finding the best method of transition from IPv4 to IPv6 for large enterprise networks.
This study analyzed experiences of several large enterprises that had deployed IPv6. Key factors on the success and failure of IPv6 deployment were synthesized from findings from those enterprises.
This research utilizes qualitative approach and inductive reasoning along with design science approach. Seven guidelines of design science method are followed strictly for better end results. Open-ended interviews will be data collection methods of the study. Documents, such as articles, books, and websites also provide lots of information. Content analysis helps the authors to look directly into context of documents to find the core meaning. The content of this study was examined on two scales: technical side and managerial side.
Findings upon data collected reveal several significant factors which affect IPv6 implementation project. Hence, a solution, the most applicable transition method was concluded. This method was then tested on a virtual environment simulating a large network model. It was proven to be working.
This study analyzed experiences of several large enterprises that had deployed IPv6. Key factors on the success and failure of IPv6 deployment were synthesized from findings from those enterprises.
This research utilizes qualitative approach and inductive reasoning along with design science approach. Seven guidelines of design science method are followed strictly for better end results. Open-ended interviews will be data collection methods of the study. Documents, such as articles, books, and websites also provide lots of information. Content analysis helps the authors to look directly into context of documents to find the core meaning. The content of this study was examined on two scales: technical side and managerial side.
Findings upon data collected reveal several significant factors which affect IPv6 implementation project. Hence, a solution, the most applicable transition method was concluded. This method was then tested on a virtual environment simulating a large network model. It was proven to be working.