Voice-Activated Applications and Multipath TCP: A Good Match?
Wed, 02/27/2019 - 13:56 by Viet-Hoang Tran
Abstract
Voice is progressively becoming a popular way to interact with mobile devices such as smartphones or connected cars. Most of the current deployments depend on cloud services to recognize the user , s commands. For this reason, voice-controlled applications have stringent requirements in terms of delay or availability. On the other hand, many of the devices using such applications are attached to several wireless networks. On iPhones, Multipath TCP made voice-enabled applications useable while users move from cellular to WiFi. In this paper, we leverage the MONROE platform to analyze the performance of Multipath TCP for voice-activated applications. For this, we port the Multipath TCP Linux kernel code into the Linux Kernel Library so that it can run as a regular application. We extend iperf3 to emulate voice-activated applications and carry out measurement campaigns. Our measurements show that Multipath TCP brings clear benefits for users attached to two networks.
- Authors
- Viet-Hoang Tran, Hajime Tazaki, Quentin De Coninck and Olivier Bonaventure
- Source
2018 Network Traffic Measurement and Analysis Conference (TMA) , pages 1-6, Vienna, Austria, 6 2018. IEEE, IEEE.- Keywords
- multipath;MPTCP;interactive traffic;voice-recognition;low-latency;measurement
- Notes
- 2nd Workshop on Mobile Network Measurement (MNM’18)
- Full text
-
(314.58 KB) - Slides
-
(2.33 MB) - Cite it
- BibTex
- Copyright
- See here
IEEE Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ACM Copyright Notice: Copyright 1999 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page or intial screen of the document. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM Inc., fax +1 (212) 869-0481, or permissions@acm.org.
Springer-Verlag LNCS Copyright Notice: The copyright of these contributions has been transferred to Springer-Verlag Berlin Heidelberg New York. The copyright transfer covers the exclusive right to reproduce and distribute the contribution, including reprints, translations, photographic reproductions, microform, electronic form (offline, online), or any other reproductions of similar nature. Online available from Springer-Verlag LNCS series.