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  • Dhruv Dhody

RFCs We Love: Apr 2021 (IETF 110 edition)

Updated: Apr 3, 2021

This RFCsWeLove meetup was on Friday, 2nd April with a focus on some interesting topics that were discussed at IETF 110. This was our 21st meetup and the 8th fully virtual one.

We had a great set of topics with excellent new speakers lined up.


  • Introduction by Dhruv [Link]

  • Application-aware Networking (APN) by Shuping Peng, Huawei -- this talk will introduce this new work that was discussed at various WGs at IETF 110. [Link]

  • Application-Layer Traffic Optimization (ALTO) by Sabine Randriamasy, Nokia -- this talk will introduce the past work and the new items being discussed as part of the WG recharter. [Link]

Application-aware Networking (APN)

APN is focused on developing a framework and set of mechanisms to derive, convey and use an identifier to allow for the implementation of a fine-grain user (group)-, application (group)-, and service-level requirements at the network layer.

An identifier is acquired, constructed in a structured value, and then encapsulated in the packets. Such structured value is treated as an opaque object in the network, to which the network operator applies policies in various nodes/service functions along the path and provides corresponding services. Such an identifier may represent the traffic of a particular user/application group and/or service-level requirement but does not directly identify the actual user nor the actual application on the wire.

APN works within a limited trusted domain. Typically, an APN domain is defined as the service providers’ limited domains in which MPLS, VXLAN, SR/SRv6, and other tunnel technologies are adopted to provide services. This talk will introduce the APN, its use case, and common queries around it.

Bio: Dr. Shuping Peng is a Huawei Principle IP Standards Representative, responsible for IPv6/SRv6 innovations and standards work.

  • 10 years working experience in telecommunications, and 6 years deep involvements in European and UK national projects, including FP7, Horizon 2020, 5GPPP, etc.

  • Active in multiple standards organizations, serving as IETF SPRING WG Secretary, BBF 5G Projects Editors, and CCSA TC3 WG2 (Network Protocols) Deputy Director.

  • TPC member of 10+ ACM/IEEE conferences, Google Scholar citations 1721, h-index 23, i-index 44.

Application-Layer Traffic Optimization (ALTO): The IETF ALTO protocol: features and extensions

ALTO stands for Application-Layer Traffic Optimization. ALTO is an IETF client-server protocol that aims at providing guidance to applications for network infrastructure-aware connection decisions. This guidance is generally based on an operator-centric abstraction of the underlying topology, that hides complexity while exposing human-readable information and ensuring at least the same QoE. Since its publication as RFC 7285, ALTO has been extended with features allowing better-informed decisions with respect to performance metrics, time, topology insights while reducing data exchange volume. A new charter for the ALTO WG is currently under discussion to support emerging new uses of ALTO and further optimize the protocol. This presentation gathers material already presented at the IETF. It visits the basic and extended features of ALTO and use-cases explored at the ALTO WG that motivate potential protocol extension proposals.


Sabine Randriamasy, Ph.D. is a Senior Researcher at Nokia Bell Labs. Her current research focuses on Intent-based networking and network abstraction for vertical applications. Her achievements include architectures and frameworks for automation of service request processing, algorithms for service deployment on 5G topologies, access-aware, and layer-cooperative application traffic optimization. She also contributes to the IETF with RFCs in the ALTO WG and to the IRTF NMRG. Her work builds on previous experience in IP/MPLS distributed, adaptive, multi-path routing, traffic engineering on IP and LTE networks. Sabine Randriamasy joined Alcatel in 1995 where she worked on data analysis on satellite and cartographic images for site monitoring and mobile network design, traffic modeling, using combinatorial optimization, multi-objective decision making, numerical and dynamic optimization. She previously received a Ph.D. in Applied Mathematics and Image Analysis from INRIA and PARIS IX Dauphine University in 1992 and worked in various research labs and companies in France and the United States. She publishes and serves as a reviewer and TPC member in international conferences contributed to collaborative research projects and holds several active international patents.


Find details about the previous meetup here.

Stay Safe Folks!


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