article · 2011
Redesigning Transport Layer Architecture for Future Internet
Miao Xue, Fei Song, Feng Qiu, Ming Wan, Sidong Zhang, Hongke Zhang
Cited by 1Abstract and details only
Abstract
Current transport layer is facing challenges from both the original design drawbacks and new evolutionary technologies demands. The strict hierarchical layer architecture is restricted and inflexible, which makes the addition and deployment of new features difficult. While new evolutionary technologies, such as multihoming, mobility, ID/Locator split, need the transport layer import new functions urgently. In this paper, we analyze and summarize these challenges and resolve them in RTLA, an experimental Redesigned Transport Layer Architecture. Through splitting the transport service to three sublayers and some cross-layer function blocks, the RTLA is able to extend new features easily. Consequently, the RTLA provides a heuristic overview of a scalable transport service designing based the layered model with cross-layer collaboration.
Cite this paper
Xue, M., Song, F., Qiu, F., Wan, M., Zhang, S., & Zhang, H. (2011). Redesigning Transport Layer Architecture for Future Internet. https://doi.org/10.1109/wicom.2011.6040464
Xue, Miao, et al. “Redesigning Transport Layer Architecture for Future Internet.” 2011, pp. 1–5, https://doi.org/10.1109/wicom.2011.6040464.
Xue, Miao, Fei Song, Feng Qiu, Ming Wan, Sidong Zhang, and Hongke Zhang. 2011. “Redesigning Transport Layer Architecture for Future Internet.” https://doi.org/10.1109/wicom.2011.6040464.
Xue, M. et al. (2011) ‘Redesigning Transport Layer Architecture for Future Internet’. Available at: https://doi.org/10.1109/wicom.2011.6040464.
@article{xue2011redesigning,
title = {{Redesigning Transport Layer Architecture for Future Internet}},
author = {Xue, Miao and Song, Fei and Qiu, Feng and Wan, Ming and Zhang, Sidong and Zhang, Hongke},
pages = {1--5},
year = {2011},
doi = {10.1109/wicom.2011.6040464}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.