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

Yunfei Zhang, Gang Li, Chunshan Xiong, Yixue Lei, Wei Huang, Yunbo Han, Anwar Walid, Y. Richard Yang, Zhi Li Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationNAI 2020 - Proceedings of the 2020 Workshop on Network Application Integration/CoDesign
PublisherAssociation for Computing Machinery
Pages20-27
Number of pages8
ISBN (Electronic)9781450380447
DOIs
StatePublished - Aug 14 2020
Event1st Workshop on Network Application Integration/CoDesign, NAI 2020, colocated with ACM SIGCOMM 2020 - Virtual, Online, United States
Duration: Aug 14 2020 → …

Publication series

NameNAI 2020 - Proceedings of the 2020 Workshop on Network Application Integration/CoDesign

Conference

Conference1st Workshop on Network Application Integration/CoDesign, NAI 2020, colocated with ACM SIGCOMM 2020
Country/TerritoryUnited States
CityVirtual, Online
Period8/14/20 → …

Bibliographical note

Funding Information:
The authors are extremely grateful to the help of Dr. Qiao Xiang when preparing the final version of this paper. The authors also acknowledge the help of Sabine Randriamasy. Y. Richard Yang’s research is supported in part by the Greater Bay Network at PCL and a Facebook Systems Networking Award.

Publisher Copyright:
© 2020 ACM.

Keywords

  • 5G
  • ALTO
  • Network information exposure

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