Periodic scheduling of deadline-constrained variable slot-bandwidth reservations for scientific collaboration

Yongqiang Wang, Chase Q. Wu, Aiqin Hou

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

3 Scopus citations

Abstract

With the maturity and proliferation of Software-Defined Networking (SDN), there has been an increasing number of network deployments that provide dedicated connections through on-demand and in- advance scheduling in support of data-intensive applications for global scientific collaboration. In such dedicated network environments, bandwidth scheduling serves as a key technique to improve the utilization of network resources and meet diverse user requests. In this paper, we formulate a periodic bandwidth scheduling problem to maximize the number of satisfied user requests for variable slot-bandwidth reservation under deadline constraint on a network path, referred to as VSBR- DC. We show that VSBR-DC is NP-complete, and propose a bandwidth scheduling algorithm based on optimal scheduling order and allocation strategy, referred to as OSOAS-BS. Extensive simulation results show that OSOAS-BS has a superior performance in terms of scheduling success ratio over three heuristic algorithms designed for performance comparison, and may be used to facilitate scientific collaboration that requires VSBR- based reservation services for coordinated data transfer over high-speed network links.

Original languageEnglish (US)
Title of host publication2017 26th International Conference on Computer Communications and Networks, ICCCN 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
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

Other

Other26th International Conference on Computer Communications and Networks, ICCCN 2017
CountryCanada
CityVancouver
Period7/31/178/3/17

All Science Journal Classification (ASJC) codes

  • 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

Keywords

  • High-performance networks
  • Periodic bandwidth scheduling
  • Scientific collaboration

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