Preprint / Version 1

An initial study of application deployment in a mixed environment

##article.authors##

  • Yoji Yamato NTT Corporation

DOI:

https://doi.org/10.51094/jxiv.957

Keywords:

Environment-adaptive software, Automatic offload, Quantum computers, Mixed environment, Hardware selection

Abstract

私は,配置環境に合わせ,既存のコード変換等を自動で行い適切に動作させる,環境適応ソフトウェアを提案してきた.これまで検証してきた自動オフロードは,GPUやFPGA,量子コンピュータ等個々ハードウェアに対してだった.本稿では,それらの混在環境においてアプリケーションを適材適所で利用するための,自動オフロード方式を検討する.

電子情報通信学会ネットワークソフトウェア研究会,2025年1月研究会(プレプリント版)

Conflicts of Interest Disclosure

The author declares no competing interest with this manuscript.

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References

H. Noguchi, et al., "Distributed Search Architecture for Object Tracking in the Internet of Things," IEEE Access, 2018.

H. Noguchi, et al., "Autonomous Device Identification Architecture for Internet of Things," IEEE WF-IoT 2018, 2018.

Y. Yamato, et al., "Fast Restoration Method of Virtual Resources on OpenStack," IEEE CCNC 2015, pp.607-608, 2015.

Y. Yamato, "Automatic Verification for Plural Virtual Machines Patches," ICUFN 2015, pp.837-838, 2015.

Y. Yamato, "Automatic Offloading Method of Loop Statements of Software to FPGA," Int J Parallel Emergent Distrib Syst., Taylor and Francis, Apr. 2021.

Y. Yamato, "Improvement Proposal of Automatic GPU Offloading Technology," ICIET 2020, pp.242-246, Mar. 2020.

Y. Yamato, "Proposal of Automatic Offloading for Function Blocks of Applications," ICIAE 2020, pp.4-11, Mar. 2020.

Y. Yamato, "Study and Evaluation of Automatic GPU Offloading Method from Various Language Applications," Int J Parallel Emergent Distrib Syst., Taylor and Francis, Sep. 2021.

Y. Yamato, "Study and Evaluation of Improved Automatic GPU Offloading Method," Int J Parallel Emergent Distrib Syst., Taylor and Francis, June 2021.

Posted


Submitted: 2024-11-06 19:15:39 UTC

Published: 2024-11-11 09:09:00 UTC
Section
Information Sciences