FPGA Context-based Live Migration Maintaining Network Consistency

Akihiro Fukuhara, Soichiro Shohata, Hiroaki Nishi

研究成果: Conference contribution

抄録

Based on the development of networking services and the emergence of various computing environments, such as edge and cloud environments, appropriate service allocation based on processing delays, computational resources, data volumes, and other requirements has become crucial. To support dynamic load shifting and reduce service downtime, service allocation should be performed using live migration, which maintains network consistency. There have been many studies on live migration techniques and their implementation in software applications. However, limited research has been reported on field-programmable gate array (FPGA)-based transparent service migration. This paper proposes and evaluates a transparent live-migration architecture for an FPGA computing system that maintains network consistency before and after migration and enables effective migration without any software or hardware extensions on communicating edges or cloud nodes. The proposed architecture achieves sufficient throughput and sufficiently low downtime to be introduced into cloud and edge nodes.

本文言語English
ホスト出版物のタイトルProceedings - 2020 8th International Symposium on Computing and Networking Workshops, CANDARW 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ81-86
ページ数6
ISBN(電子版)9781728199191
DOI
出版ステータスPublished - 2020 11
イベント8th International Symposium on Computing and Networking Workshops, CANDARW 2020 - Virtual, Naha, Japan
継続期間: 2020 11 242020 11 27

出版物シリーズ

名前Proceedings - 2020 8th International Symposium on Computing and Networking Workshops, CANDARW 2020

Conference

Conference8th International Symposium on Computing and Networking Workshops, CANDARW 2020
CountryJapan
CityVirtual, Naha
Period20/11/2420/11/27

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Computational Mathematics
  • Control and Optimization

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