A Statistical Exploration of Protocol Adoption

作者：Nikkhah Mehdi; Mangal Aman; Dovrolis Constantine; Guerin Roch^*

来源：IEEE/ACM Transactions on Networking, 2017, 25(5): 2858-2871.

DOI：10.1109/TNET.2017.2711642

• Protocol
• adoption
• IETF
• statistical analysis

The development and adoption of new protocols (or of extensions to existing protocols) is arguably central to the Internet's evolution. However, and in spite of over 40 years of experience with this process, we have limited understanding of what factors may contribute to a protocol's success. A sound technical design and a well-grounded purpose are obviously important, but we have many examples of failures that met those two criteria. What other factors affect a protocol's likelihood of success, and under what circumstances? We investigate this question through a statistical approach, based on analyzing a set of about 250 Internet standard documents, Internet engineering task force request for comments (RFCs). We characterize these RFCs using a number of key features, which we then seek to associate with positive or negative odds when it comes to success. Our high-level results are intuitive, e.g., protocols that call for Internet-wide adoption face greater challenges. Focusing on more targeted subsets of protocols reveals more subtle and possibly more interesting differences between areas of the Internet landscape. We also apply our prediction framework to IPv6, and use different "what-if" scenarios to explore what might have affected its deployment.

• 出版日期2017-10
• 单位Cisco