A function clustering algorithm for resource utilization in service function chaining

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

1 Citation (Scopus)

Abstract

Abstract-Virtualized service and network functions are deployed on virtual machines (VMs) to realize essential processing to realize service function chaining (SFC). Issues on SFC is SF allocation to a VM and to minimize the response time and number of function instances. In this paper, we propose an SF clustering-based scheduling algorithm, called 'SF-clustering for utilizing virtual CPUs' (SFCUV), to solve the SF allocation and SF selection problems simultaneously. Experimental results show that SF-CUV can utilize vCPUs to minimize the response time.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services
EditorsElisa Bertino, Carl K. Chang, Peter Chen, Ernesto Damiani, Michael Goul, Katsunori Oyama
PublisherIEEE Computer Society
Pages193-195
Number of pages3
ISBN (Electronic)9781728127057
DOIs
Publication statusPublished - 2019 Jul
Event12th IEEE International Conference on Cloud Computing, CLOUD 2019 - Milan, Italy
Duration: 2019 Jul 82019 Jul 13

Publication series

NameIEEE International Conference on Cloud Computing, CLOUD
Volume2019-July
ISSN (Print)2159-6182
ISSN (Electronic)2159-6190

Conference

Conference12th IEEE International Conference on Cloud Computing, CLOUD 2019
CountryItaly
CityMilan
Period19/7/819/7/13

Keywords

  • Clustering
  • NFV
  • Resource Utilization
  • SFC
  • Service Function Chaining
  • Shceduling

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Software

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