Self-organizing map using classification method for services in multilayer computing environments

Tomomu Iwai, Yuta Ohno, Akira Niwa, Yuichi Nakamura, Keiya Sakai, Kanae Matsui, Hiroaki Nishi

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

The increasing amount of data running in cloud-computing environments has started inflating networks. To solve the problems caused by network inflation (e.g., latency and privacy), new types of computing environments with multiple layers have been proposed. However, service placement inside these multilayer computing environments has not been proposed. Nodes inside multilayer computing environments have different preferences, and the services deployed also have restrictions on deployment. Therefore, services must be placed carefully inside the computing environment. To place these services, we introduce a service classification method according to their properties and restrictions. However, when accommodating dynamic placement, rapid classification is needed to avoid serious damage caused by restriction changes. Therefore, we propose a classifying method using k-Nearest Neighbor Classification (k-NN). In addition, to accelerate the process, we use a dimension reduction method called Self-Organizing Maps (SOM) to preprocess the data. The proposed classification method is expected to be used as the primary step in service placement. The method will supply service placers with the identification of which layer services should be deployed.

本文言語English
ホスト出版物のタイトルProceedings
ホスト出版物のサブタイトルIECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
出版社Institute of Electrical and Electronics Engineers Inc.
ページ4193-4198
ページ数6
ISBN(電子版)9781509066841
DOI
出版ステータスPublished - 2018 12 26
イベント44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 - Washington, United States
継続期間: 2018 10 202018 10 23

出版物シリーズ

名前Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society

Conference

Conference44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018
CountryUnited States
CityWashington
Period18/10/2018/10/23

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Control and Optimization

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