ALTO for Querying LMAP Results
draft-seedorf-lmap-alto-02
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
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|---|---|---|---|
| Authors | Jan Seedorf , David Goergen, R State , Vijay K. Gurbani , Enrico Marocco | ||
| Last updated | 2014-04-24 (Latest revision 2013-10-21) | ||
| RFC stream | (None) | ||
| Formats | |||
| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | Expired | |
| Telechat date | (None) | ||
| Responsible AD | (None) | ||
| Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
In the context of Large-Scale Measurement of Broadband Performance (LMAP), measurement results are currently made available to the public either at the finest granularity level (e.g. as a list of results of all individual tests), or in a very high level human- readable format (e.g. as PDF reports). This document argues that there is a need for an intermediate way to provide access to large- scale network measurement results, flexible enough to enable querying of specific and possibly aggregated data. The Application-Layer Traffic Optimization (ALTO) Protocol, defined with the goal to provide applications with network information, seems a good candidate to fulfill such a role. Finally, we describe our methodology for analyzing the United States Federal Communication Commission's (FCC) Measuring Broadband America (MBA) dataset to derive required topology and cost maps suitable for consumption by an ALTO server.
Authors
Jan Seedorf
David Goergen
R State
Vijay K. Gurbani
Enrico Marocco
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)