VIP lanes: High-speed custom communication paths for authorized flows

James Griffioen, Kenneth Calvert, Zongming Fei, Sergio Rivera, Jacob Chappell, Mami Hayashida, Charles Carpenter, Yongwook Song, Hussamuddin Nasir

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Campus networks and enterprise networks increasingly depend on middleboxes (e.g., firewalls, NAT, load balancers, IDS/IDP) to provide essential services or enforce network policies. These middleboxes often limit the performance of network applications, especially those involved in big data transfer. To address this problem, we propose a Software Defined Networking (SDN) campus network architecture, called VIP Lanes, that provides the ability for pre-authorized, trusted users to create flows that bypass middleboxes, thereby enabling those users to achieve substantially better performance while maintaining security and policy compliance for other network traffic. In this paper, we present the VIP Lanes abstraction and describe an authorization and policy-enforcement service used to establish trusted VIP Lanes. We describe an initial prototype implementation that not only demonstrates the viability of the VIP Lanes approach, but also gives an indication of the types of performance improvements that are possible - in some cases approaching a two order of magnitude reduction in transmission times.

Original languageEnglish
Title of host publication2017 26th International Conference on Computer Communications and Networks, ICCCN 2017
ISBN (Electronic)9781509029914
DOIs
StatePublished - Sep 14 2017
Event26th International Conference on Computer Communications and Networks, ICCCN 2017 - Vancouver, Canada
Duration: Jul 31 2017Aug 3 2017

Publication series

Name2017 26th International Conference on Computer Communications and Networks, ICCCN 2017

Conference

Conference26th International Conference on Computer Communications and Networks, ICCCN 2017
Country/TerritoryCanada
CityVancouver
Period7/31/178/3/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Big data
  • Campus network
  • Middleboxes
  • Software defined networks

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Software
  • Management of Technology and Innovation
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Media Technology
  • Control and Optimization

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