Enabling Software Defined Networking with QoS Guarantee for Cloud Applications

Fuliang Li, Jiannong Cao, Xingwei Wang, Yinchu Sun, Yuvraj Sahni

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

13 Citations (Scopus)

Abstract

Due to the centralized control, network-wide monitoring and flow-level scheduling of Software-Defined-Networking (SDN), it can be utilized to achieve Quality of Service (QoS) for cloud applications and services, such as voice over IP, video conference and online games, etc. However, most existing approaches stay at the QoS framework design and test level, while few works focus on studying the basic QoS techniques supported by SDN. In this paper, we enable SDN with QoS guaranteed abilities, which could provide end-to-end QoS routing for each cloud user service. First of all, we implement an application identification technique on SDN controller to determine required QoS levels for each application type. Then, we implement a queue scheduling technique on SDN switch. It queues the application flows into different queues and schedules the flows out of the queues with different priorities. At last, we evaluate the effectiveness of the proposed SDN-based QoS technique through an experimental analysis. Results show that when the output interface has sufficiently available bandwidth, the delay can be reduced by 28% on average. In addition, for the application flow with the highest priority, our methods can reduce 99.99% delay and increase 90.17% throughput on average when the output interface utilization approaches to the maximum bandwidth limitation.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 10th International Conference on Cloud Computing, CLOUD 2017
EditorsGeoffrey C. Fox
PublisherIEEE Computer Society
Pages130-137
Number of pages8
ISBN (Electronic)9781538619933
DOIs
Publication statusPublished - 8 Sep 2017
Event10th IEEE International Conference on Cloud Computing, CLOUD 2017 - Honolulu, United States
Duration: 25 Jun 201730 Jun 2017

Publication series

NameIEEE International Conference on Cloud Computing, CLOUD
Volume2017-June
ISSN (Print)2159-6182
ISSN (Electronic)2159-6190

Conference

Conference10th IEEE International Conference on Cloud Computing, CLOUD 2017
Country/TerritoryUnited States
CityHonolulu
Period25/06/1730/06/17

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Software

Cite this