A function clustering algorithm for resource utilization in service function chaining

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services
編集者Elisa Bertino, Carl K. Chang, Peter Chen, Ernesto Damiani, Michael Goul, Katsunori Oyama
出版社IEEE Computer Society
ページ193-195
ページ数3
ISBN(電子版)9781728127057
DOI
出版ステータスPublished - 2019 7
イベント12th IEEE International Conference on Cloud Computing, CLOUD 2019 - Milan, Italy
継続期間: 2019 7 82019 7 13

出版物シリーズ

名前IEEE International Conference on Cloud Computing, CLOUD
2019-July
ISSN(印刷版)2159-6182
ISSN(電子版)2159-6190

Conference

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

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Software

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