research-article

Vision: Augmenting WiFi Offloading with An Open-source Collaborative Platform

Authors:

Henning Schulzrinne,

Jon CrowcroftAuthors Info & Claims

MCS '15: Proceedings of the 6th International Workshop on Mobile Cloud Computing and Services

Pages 44 - 48

https://doi.org/10.1145/2802130.2802135

Published: 11 September 2015 Publication History

Abstract

Offloading mobile traffic to WiFi networks (WiFi Offloading) is a cost-effective technique to alleviate the pressure on mobile networks for meeting the surge of data capacity demand. However, most existing proposals from standards developing organizations (SDOs) and research communities are facing a deployment dilemma, either due to overlooking device limitations, lack user incentives, or missing operator supports. In this position paper, we introduce an open-source platform for WiFi offloading to tackle the deployment challenge. Our solution leverages the programmable feature of software-defined networking (SDN) to enhance extensibility and deployability in a collaborative manner. Inspired by our field measurements covering 4G/LTE and 802.11ac/n, we exploit context awareness as a use case to demonstrate the efficacy of our solution. We also discuss the potential usage by cloud service providers given the opportunities behind the growing popularity of mobile virtual network operators (MVNO). We have released our platform under open-source licenses to encourage future collaboration and development with SDOs and research communities.

References

[1]

Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2014--2019. February 2, 2015.

[2]

S. Liu, and A. Striegel, "Casting Doubts on the Viability of WiFi Offloading". In Proceedings of ACM CellNet 2012.

Digital Library

[3]

Aaron Yi Ding, et al., "Enabling Energy-Aware Collaborative Mobile Data Offloading for Smartphones". In Proceedings of IEEE SECON 2013.

[4]

A. Y. Ding, J. Korhonen, T. Savolainen, M. Kojo, J. Ott, S. Tarkoma, and J. Crowcroft, "Bridging the Gap between Internet Standardization and Networking Research". In ACM SIGCOMM Computer Communication Review, 2014, Vol. 44, No. 1.

Digital Library

[5]

A. Balasubramanian, et. al, "Augmenting Mobile 3G Using WiFi". In Proceedings of ACM MobiSys 2010.

Digital Library

[6]

K. Lee, et al., "Mobile Data Offloading: How Much Can WiFi Deliver?" In Proceedings of ACM CoNEXT 2010.

Digital Library

[7]

U. Shevade, et al., "Enabling Enabling High-Bandwidth Vehicular Content Distribution". In Proceedings of ACM CoNEXT 2010.

Digital Library

[8]

X. Hou, P. Deshpande, S. R. Das, "Moving Bits from 3G to Metro-Scale WiFi for Vehicular Network Access: An Integrated Transport Layer Solution". In Proceedings of IEEE ICNP 2011.

Digital Library

[9]

N. Ristanovic, J. Le Boudec, A. Chaintreau, V. Erramilli, "Energy Efficient Offloading of 3G Networks". In Proceedings of IEEE MASS 2011.

Digital Library

[10]

X. Zhuo, et al., "Win-Coupon: An incentive framework for 3G traffic offloading". In Proceedings of IEEE ICNP 2011.

Digital Library

[11]

E. Bulut, B. K. Szymanski, "WiFi Access Point Deployment for Efficient Mobile Data Offloading". In Proceedings of ACM PINGEN 2012.

Digital Library

[12]

Jouni Korhonen, et al., "Toward Network Controlled IP Traffic Offloading". In IEEE Communications Magazine, 2013, Vol. 51, No. 3.

[13]

Floodlight OpenFlow Controller: http://www.projectfloodlight.org/

[14]

L. Suresh, et al., "Towards Programmable Enterprise WLANS with Odin". In Proceedings of ACM HotSDN 2012.

Digital Library

[15]

E. Kohler, et al., "The Click Modular Router". In ACM Transactions on Computer Systems, 2000, Vol. 18, No. 3.

Digital Library

[16]

R. Mahindra, et al., "A Practical Traffic Management System for Integrated LTE-WiFi Networks". In Proceedings of ACM MobiCom 2014.

Digital Library

[17]

A. Patro, S. Banerjee, "Outsourcing Coordination and Management of Home Wireless Access Points through an Open API". In Proceedings of IEEE INFOCOM 2015.

Cited By

Qin YYang YTang FYao XZhao MKato N(2024)Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated NetworksIEEE Transactions on Mobile Computing10.1109/TMC.2024.338901123:12(11000-11013)Online publication date: Dec-2024
https://doi.org/10.1109/TMC.2024.3389011
Tang FHofner HKato NKaneko KYamashita YHangai M(2022)A Deep Reinforcement Learning-Based Dynamic Traffic Offloading in Space-Air-Ground Integrated Networks (SAGIN)IEEE Journal on Selected Areas in Communications10.1109/JSAC.2021.312607340:1(276-289)Online publication date: Jan-2022
https://doi.org/10.1109/JSAC.2021.3126073
Ding A(2020) MEC and Cloud Security Wiley 5G Ref10.1002/9781119471509.w5GRef168(1-16)Online publication date: 16-May-2020
https://doi.org/10.1002/9781119471509.w5GRef168
Show More Cited By

Index Terms

Vision: Augmenting WiFi Offloading with An Open-source Collaborative Platform
1. Networks
  1. Network protocols

Recommendations

Modeling Trust Based Risk Management in Cloud Adoption using Fuzzy Inference System

Cloud has revolutionized the entire landscape of IT usage, storage and maintenance. It has shifted the focus from owning physical IT infrastructure, facility and storage to the use of same in an abstract form with pay per use facility. This has led to ...
Cloud forensics

Cloud computing is arguably one of the most significant advances in information technology (IT) services today. Several cloud service providers (CSPs) have offered services that have produced various transformative changes in computing activities and ...
A Cloud Computing Security Framework Based on Cloud Security Trusted Authority
INFOS '16: Proceedings of the 10th International Conference on Informatics and Systems

Cloud computing is a promising technology that provides dynamic resource allocation, power saving, and low running cost. On the other hand, security risks of cloud computing represent a major concern that slows down its market growth. There are many ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

MCS '15: Proceedings of the 6th International Workshop on Mobile Cloud Computing and Services

September 2015

56 pages

ISBN:9781450335454

DOI:10.1145/2802130

Program Chair:
Nic Lane
Bell Labs, UK

Copyright © 2015 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

SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 September 2015

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

MobiCom'15

Sponsor:

SIGMOBILE

MobiCom'15: The 21th Annual International Conference on Mobile Computing and Networking

September 11, 2015

Paris, France

Acceptance Rates

Overall Acceptance Rate 8 of 12 submissions, 67%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

7
Total Citations
View Citations
330
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 02 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Qin YYang YTang FYao XZhao MKato N(2024)Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated NetworksIEEE Transactions on Mobile Computing10.1109/TMC.2024.338901123:12(11000-11013)Online publication date: Dec-2024
https://doi.org/10.1109/TMC.2024.3389011
Tang FHofner HKato NKaneko KYamashita YHangai M(2022)A Deep Reinforcement Learning-Based Dynamic Traffic Offloading in Space-Air-Ground Integrated Networks (SAGIN)IEEE Journal on Selected Areas in Communications10.1109/JSAC.2021.312607340:1(276-289)Online publication date: Jan-2022
https://doi.org/10.1109/JSAC.2021.3126073
Ding A(2020) MEC and Cloud Security Wiley 5G Ref10.1002/9781119471509.w5GRef168(1-16)Online publication date: 16-May-2020
https://doi.org/10.1002/9781119471509.w5GRef168
Ding AJanssen MJanssen MShishkov BLazarov AMitrakos D(2018)Opportunities for applications using 5G networksProceedings of the Seventh International Conference on Telecommunications and Remote Sensing10.1145/3278161.3278166(27-34)Online publication date: 8-Oct-2018
https://dl.acm.org/doi/10.1145/3278161.3278166
Mehmeti FSpyropoulos T(2017)Performance Modeling, Analysis, and Optimization of Delayed Mobile Data Offloading for Mobile UsersIEEE/ACM Transactions on Networking (TON)10.1109/TNET.2016.259032025:1(550-564)Online publication date: 1-Feb-2017
https://dl.acm.org/doi/10.1109/TNET.2016.2590320
Molina LKerdoncuff TShehadeh DMontavont NBlanc A(2017)WMSP: Bringing the Wisdom of the Crowd to WiFi NetworksIEEE Transactions on Mobile Computing10.1109/TMC.2017.269442216:12(3580-3591)Online publication date: 1-Dec-2017
https://doi.org/10.1109/TMC.2017.2694422
Zarafetas CMakris NApostolaras AKorakis TTassiulas L(2017)Flexible cross-technology offloading using SDN2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)10.1109/TELSKS.2017.8246277(265-270)Online publication date: Oct-2017
https://doi.org/10.1109/TELSKS.2017.8246277

View Options

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.

Figures

Tables

Media

View Table of Conten