research-article

MoWIE: Toward Systematic, Adaptive Network Information Exposure as an Enabling Technique for Cloud-Based Applications over 5G and Beyond (Invited Paper)

Authors:

Chunshan Xiong,

Y. Richard Yang, and

Zhi-Li ZhangAuthors Info & Claims

NAI '20: Proceedings of the Workshop on Network Application Integration/CoDesign

August 2020

Pages 20 - 27

https://doi.org/10.1145/3405672.3409489

Published: 10 August 2020 Publication History

Abstract

Cloud-based, adaptive applications such as video streaming and interactive cloud gaming are important to existing 4G and emerging 5G and beyond networks, as they attract a large number of users and bring significant revenues to both carriers and application service providers. These applications are also known to consume significant cellular network resources. To maintain good quality-of-experience (QoE) while minimizing network resource consumption, these applications employ adaptive mechanisms based on the changing network condition. Although various methods have been deployed to convey network information to applications running on user equipment (UEs) or cloud servers, the existing mechanisms are limited in generality and flexibility. In this paper, we propose MoWIE (Mobile and Wireless Information Exposure), a framework that uses systematic, flexible information channels to decide "what" information to expose between networks and applications and advocate an integrated in-band and out-band transport to realize "how" exposed information can be provided to applications with adaptive information exposure rate optimization. We conduct three case studies over real-world operational networks - through collaboration between one of the largest application developers and one of the largest cellular carriers in the world. These case studies, while still preliminary and ongoing, illuminate the potential benefits of systematic, adaptive network information exposure in mobile networks. We conclude by discussing remaining important yet challenging issues in implementing and deploying MoWIE in practice.

References

[1]

3GPP. Progressive Download and Dynamic Adaptive Streaming over HTTP (3GP-DASH). TS 26.247, 2019.

[2]

3GPP. Architecture enhancements for 5G System (5GS) to support network data analytics services. TS 23.288, 2020.

[3]

3GPP. Architecture enhancements for 5G System (5GS) to support Vehicle-to-Everything (V2X) services. TS 23.287, 2020.

[4]

3GPP. New Radio; Overall description; Stage-2. TS 38.300, 2020.

[5]

3GPP. New Radio; Radio Resource Control (RRC); Protocol specification. TS 38.331, 2020.

[6]

3GPP. System architecture for the 5G System (5GS). TS 23.501, 2020.

[7]

R. Alimi, R. Penno, Y. Yang, S. Kiesel, S. Previdi, W. Roome, S. Shalunov, and R. Woundy. Application-layer traffic optimization (ALTO) protocol. RFC 7285, 2014.

[8]

R. Braden, L. Zhang, S. Berson, S. Herzog, and S. Jamin. Resource reservation protocol (RSVP) - version 1 functional specification. RFC 2205, 1997.

Digital Library

[9]

GSA. LTE and 5G subscriber growth and forecast. gsacom.com/technology/5g/, June 2020.

[10]

C. Guo and L. Zhang. A novel multiresolution spatiotemporal saliency detection model and its applications in image and video compression. IEEE transactions on image processing, 19(1):185--198, 2009.

[11]

F. F. E. Guraya, F. A. Cheikh, and V. Medina. A novel visual saliency model for surveillance video compression. In 2011 Seventh International Conference on Signal Image Technology & Internet-Based Systems, pages 298--305. IEEE, 2011.

Digital Library

[12]

W. Huang, Y. Zhang, R. Yang, C. Xiong, Y. Lei, Y. Han, and G. Li. MoWIE for Network Aware Application. draft-huang-alto-mowie-for-network-aware-app-00, 2020.

[13]

L. Jiang, M. Xu, and Z. Wang. Predicting video saliency with object-to-motion CNN and two-layer convolutional LSTM. arXiv preprint arXiv:1709.06316, 2017.

[14]

F. P. Kelly, A. Maulloo, and D. Tan. Rate control in communication networks: shadow prices, proportional fairness and stability. Journal of the Operational Research Society, 49:237--252, 1998.

[15]

H. Mao, R. Netravali, and M. Alizadeh. Neural adaptive video streaming with Pensieve. In Proceedings of the Conference of the ACM Special Interest Group on Data Communication, pages 197--210, 2017.

Digital Library

[16]

A. Narayanan, E. Ramadan, J. Carpenter, Q. Liu, Y. Liu, F. Qian, and Z.-L. Zhang. A first look at commercial 5G performance on smartphones. In Proceedings of The Web Conference 2020, WWW '20, page 894-905, New York, NY, USA, 2020. Association for Computing Machinery.

Digital Library

[17]

K. Nichols, S. Blake, F. Baker, and D. Black. Definition of the differentiated services field (DS field) in the IPv4 and IPv6 headers. RFC 2474, 1998.

Digital Library

[18]

O-RAN alliance. O-RAN website. www.o-ran.org/, 2020.

[19]

J. Perry, A. Ousterhout, H. Balakrishnan, D. Shah, and H. Fugal. Fastpass: a centralized "zero-queue" datacenter network. In Proceedings of the 2014 ACM conference on SIGCOMM, pages 307--318, 2014.

Digital Library

[20]

L. Qiu, Y. R. Yang, Y. Zhang, and S. Shenker. Selfish routing in Internet-like environments. In Proc. of ACM SIGCOMM 2003, Aug. 2003.

Digital Library

[21]

K. Ramakrishnan, S. Floyd, and D. Black. The addition of explicit congestion notification (ECN) to IP. RFC 3168, 2001.

Digital Library

[22]

Y. Sun, X. Yin, J. Jiang, V. Sekar, F. Lin, N. Wang, T. Liu, and B. Sinopoli. CS2P: Improving video bitrate selection and adaptation with data-driven throughput prediction. In Proceedings of the 2016 ACM SIGCOMM Conference, pages 272--285, 2016.

Digital Library

[23]

X. Yin, A. Jindal, V. Sekar, and B. Sinopoli. A control-theoretic approach for dynamic adaptive video streaming over HTTP. In Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication, pages 325--338, 2015.

Digital Library

[24]

J. Zhang, S. Sclaroff, Z. Lin, X. Shen, B. Price, and R. Mech. Minimum barrier salient object detection at 80 FPS. In Proceedings of the IEEE international conference on computer vision, pages 1404--1412, 2015.

Digital Library

Cited By

Han SLiu ZSun TWang X(2024)Network Architecture Design Toward Convergence of Mobile Applications and NetworksIEEE Communications Magazine10.1109/MCOM.004.230022862:6(129-135)Online publication date: Jun-2024
https://doi.org/10.1109/MCOM.004.2300228
Vogelgesang KPereira PHerfet T(2023)SHARQ: Scheduled HARQ for Time- and Loss-Rate-Sensitive Networks2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)10.1109/CCNC51644.2023.10060294(640-643)Online publication date: 8-Jan-2023
https://doi.org/10.1109/CCNC51644.2023.10060294
Halder PHassan MRahman AAkter LAhmed AKhan SChatterjee SRaihan M(2023)Prospects and setbacks for migrating towards 5G wireless access in developing Bangladesh: A comparative studyThe Journal of Engineering10.1049/tje2.123192023:10Online publication date: 18-Oct-2023
https://doi.org/10.1049/tje2.12319
Show More Cited By

Index Terms

MoWIE: Toward Systematic, Adaptive Network Information Exposure as an Enabling Technique for Cloud-Based Applications over 5G and Beyond (Invited Paper)
1. Networks
  1. Network architectures
    1. Network design principles

Recommendations

Software Defined Wireless Networks: A Survey of Issues and Solutions

Wireless networks such as mobile networks, with their inflexible and expensive network infrastructure, are facing various challenges in efficiently handling the exponentially growing traffic demands of users. Hence, mobile network operators (MNOs) are ...
Read More
5G mobile terminals with advanced QoS-based user-centric aggregation (AQUA) for heterogeneous wireless and mobile networks

In this paper we present an advanced QoS provisioning module with vertical multi-homing framework for future fifth generation (5G) mobile terminals with radio network aggregation capability and traffic load sharing in heterogeneous mobile and wireless ...
Read More
SDN-Assisted Learning Approach for Data Offloading in 5G HetNets

With the fast proliferation of the smartphone usage, the mobile traffic has far more exceeded than the capacity of the LTE-A (Long Term Evolution-Advanced) networks. Hence, the Mobile Network Operators (MNOs) are looking for alternative opportunities to ...
Read More

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

NAI '20: Proceedings of the Workshop on Network Application Integration/CoDesign

August 2020

60 pages

ISBN:9781450380447

DOI:10.1145/3405672

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or 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. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGCOMM: ACM Special Interest Group on Data Communication

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 August 2020

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Funding Sources

Facebook
PCL

Conference

SIGCOMM '20

Sponsor:

SIGCOMM

SIGCOMM '20: Annual conference of the ACM Special Interest Group on Data Communication on the applications, technologies, architectures, and protocols for computer communication

August 14, 2020

Virtual Event, USA

Acceptance Rates

Overall Acceptance Rate 12 of 24 submissions, 50%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

9
Total Citations
View Citations
333
Total Downloads

Downloads (Last 12 months)38
Downloads (Last 6 weeks)0

Other Metrics

View Author Metrics

Citations

Cited By

Han SLiu ZSun TWang X(2024)Network Architecture Design Toward Convergence of Mobile Applications and NetworksIEEE Communications Magazine10.1109/MCOM.004.230022862:6(129-135)Online publication date: Jun-2024
https://doi.org/10.1109/MCOM.004.2300228
Vogelgesang KPereira PHerfet T(2023)SHARQ: Scheduled HARQ for Time- and Loss-Rate-Sensitive Networks2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)10.1109/CCNC51644.2023.10060294(640-643)Online publication date: 8-Jan-2023
https://doi.org/10.1109/CCNC51644.2023.10060294
Halder PHassan MRahman AAkter LAhmed AKhan SChatterjee SRaihan M(2023)Prospects and setbacks for migrating towards 5G wireless access in developing Bangladesh: A comparative studyThe Journal of Engineering10.1049/tje2.123192023:10Online publication date: 18-Oct-2023
https://doi.org/10.1049/tje2.12319
Wang YXiang QShu JLi GKong L(2022)Toward low-latency end-to-end communication in 5G using interdomain edge peeringProceedings of the ACM SIGCOMM Workshop on Network-Application Integration10.1145/3538401.3546600(26-32)Online publication date: 22-Aug-2022
https://dl.acm.org/doi/10.1145/3538401.3546600
Haxhibeqiri JSeferagic ABhat RMoerman IHoebeke J(2021)Tighter application-network interfacing to drive innovation in networked systemsProceedings of the ACM SIGCOMM 2021 Workshop on Network-Application Integration10.1145/3472727.3472801(53-57)Online publication date: 23-Aug-2021
https://dl.acm.org/doi/10.1145/3472727.3472801
Guo DWang SYang Y(2021)SockerProceedings of the ACM SIGCOMM 2021 Workshop on Network-Application Integration10.1145/3472727.3472799(14-19)Online publication date: 23-Aug-2021
https://dl.acm.org/doi/10.1145/3472727.3472799
Zhang ZDayalan URamadan ESalo T(2021)Towards a Software-Defined, Fine-Grained QoS Framework for 5G and Beyond NetworksProceedings of the ACM SIGCOMM 2021 Workshop on Network-Application Integration10.1145/3472727.3472798(7-13)Online publication date: 23-Aug-2021
https://dl.acm.org/doi/10.1145/3472727.3472798
Narayanan ARamadan EMehta RHu XLiu QFezeu RDayalan UVerma SJi PLi TQian FZhang Z(2020)Lumos5GProceedings of the ACM Internet Measurement Conference10.1145/3419394.3423629(176-193)Online publication date: 27-Oct-2020
https://dl.acm.org/doi/10.1145/3419394.3423629
Zhang YLi GXiong CLei YHuang WHan YWalid AYang YZhang Z(2020)MoWIEProceedings of the Workshop on Network Application Integration/CoDesign10.1145/3405672.3409489(20-27)Online publication date: 10-Aug-2020
https://doi.org/10.1145/3405672.3409489

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents