A dynamic network bandwidth allocation mechanism under network QoS constraints

Hung Lin Huang, Min Huang Ho, Shao Jui Chen, Yi Feng Chen, Wei Jen Wang

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

Abstract

A virtualized cloud platform may host several cloud services/applications simultaneously. Each hosted cloud service usually runs on a virtual cluster, consisting of several virtual machines (VMs) with a virtual network. In many cases, the virtual clusters share the overall physical network bandwidth. Thus, the quality of the cloud services sharing the same physical networks can be seriously affected when one of the cloud services produces a high traffic load. In this paper, we propose a mechanism to solve the mentioned issue. The proposed mechanism utilizes a logically centralized QoS controller to allocate network bandwidth to virtual clusters dynamically. The QoS controller uses a monitor to continuously gather network usage of each VM, and calculates the bandwidth consumption in the granule of virtual clusters. A Rate Limiter is bundled to each physical machine for triggering bandwidth re-distribution. The proposed mechanism is implemented on the OpenStack-based cloud platform, SAMEVED, which is developed to support on-line network security experiments. We implemented several network bandwidth re-distribution strategies on the proposed mechanism. We emulate the real network flows in the platform, and the experiment results show that, the proposed approach can effectively reduce nearly one third of packet loss rate when running a video streaming service in a high network traffic scenario.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015
EditorsXingang Liu, Peicheng Wang, Yufeng Wang, Mianxiong Dong, Robert C. H. Hsu, Feng Xia, Yuhui Deng
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages963-968
Number of pages6
ISBN (Electronic)9781509018932
DOIs
StatePublished - 2015
EventIEEE International Conference on Smart City, SmartCity 2015 - Chengdu, China
Duration: 19 Dec 201521 Dec 2015

Publication series

NameProceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015

Conference

ConferenceIEEE International Conference on Smart City, SmartCity 2015
Country/TerritoryChina
CityChengdu
Period19/12/1521/12/15

Keywords

  • Bandwidth Allocation
  • Cloud Computing
  • OpenStack
  • QoS
  • Virtual Cluster

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