This preprint has been published.
DOI: https://doi.org/10.1145/3560089.3560102
Preprint / Version 1

Evaluation of Re-Deployment for Environment-Adaptive Software

##article.authors##

  • Yoji Yamato NTT Corporation

DOI:

https://doi.org/10.51094/jxiv.910

Keywords:

Environment-Adaptive Software, Automatic Offloading, Optimum Placement, Reconfiguration during Operation

Abstract

To use heterogeneous hardware, programmers needed sufficient technical skills such as OpenMP (Open Multi-Processing), CUDA (Compute Unified Device Architecture), and OpenCL (Open Computing Language). Therefore, I have proposed environment-adaptive software that enables high-performance operation by automatically converting and configuring the code once written, and have been working on automatic conversion and proper placement. However, until now, where to initially place the converted application has been considered, but the overall optimal placement has not been considered in consideration of the placement status of other users. In this paper, as a new element of environment-adaptive software, I study the relocation during operation, which improves the overall user satisfaction by considering the placement of other users, using a linear programming method. It was confirmed that it can be properly rearranged through simulation experiments.

"(c) ACM 2022. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM, https://dl.acm.org/doi/10.1145/3560089.3560102"

Y. Yamato, "Evaluation of Re-Deployment for Environment-Adaptive Software," 2022 4th International Electronics Communication Conference, pp.80-86, July 2022.

Conflicts of Interest Disclosure

The author declares no competing interest with this manuscript.

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Submitted: 2024-09-24 04:42:45 UTC

Published: 2024-09-27 02:37:21 UTC
Section
Information Sciences