On the treeness of internet latency and bandwidth

Author:

Ramasubramanian Venugopalan1,Malkhi Dahlia1,Kuhn Fabian2,Balakrishnan Mahesh1,Gupta Archit3,Akella Aditya4

Affiliation:

1. Microsoft Research Silicon Valley, Mountain View, CA, USA

2. Massachusetts Institute of Technology, Cambridge, MA, USA

3. Data Domain Inc., Santa Clara, CA, USA

4. University of Wisconsin-Madison, Madison, WI, USA

Abstract

Existing empirical studies of Internet structure and path properties indicate that the Internet is tree-like. This work quantifies the degree to which at least two important Internet measures--latency and bandwidth--approximate tree metrics. We evaluate our ability to model end-to-end measures using tree embeddings by actually building tree representations. In addition to being simple and intuitive models, these trees provide a range of commonly-required functionality beyond serving as an analytical tool. The contributions of our study are twofold. First, we investigate the ability to portray the inherent hierarchical structure of the Internet using the most pure and compact topology, trees. Second, we evaluate the ability of our compact representation to facilitate many natural tasks, such as the selection of servers with short latency or high bandwidth from a client. Experiments show that these tasks can be done with high degree of success and modest overhead.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Artificial Packet-Pair Dispersion (APPD): A Blackbox Approach to Verifying the Integrity of NFV Service Chains;2021 IEEE Conference on Communications and Network Security (CNS);2021-10-04

2. CS2P;Proceedings of the 2016 ACM SIGCOMM Conference;2016-08-22

3. On Computing the Gromov Hyperbolicity;ACM Journal of Experimental Algorithmics;2015-12-15

4. Multi-manifold model of the Internet delay space;Journal of Network and Computer Applications;2013-01

5. Using the Last-Mile Model as a Distributed Scheme for Available Bandwidth Prediction;Euro-Par 2011 Parallel Processing;2011

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