一句话：研究多个近似应用并发运行时的全局成本/质量管理，避免单应用方法导致的配置爆炸与整体质量下降。
近似计算通过降低应用结果质量来节省资源，但已有工作主要面向单个应用。本文关注多个近似应用在同一机器上并发执行、因共享机器资源而相互干扰的场景。作者指出，将现有单应用近似技术直接用于这种多道程序环境，可能导致配置空间规模爆炸，或使整体应用质量结果变差。为此，论文提出跨多个应用的全局成本/质量管理思路，旨在协调各应用的资源使用与质量配置。摘要未给出具体算法、实现或实验评估细节。
Approximation is a technique that optimizes the balance between application outcome quality and its resource usage. Trading quality for performance has been investigated for single application scenarios, but not for environments where multiple approximate applications may run concurrently on the same machine, interfering with each other by sharing machine resources. Applying existing, single application techniques to this multi-programming environment may lead to configuration space size explosion, or result in poor overall application quality outcomes.
DOI 原文 ·
@inproceedings{paperbot5746,
title = {Global cost/quality management across multiple applications},
author = {Liu Liu and Sibren Isaacman and Ulrich Kremer},
booktitle = {FSE},
year = {2020},
doi = {10.1145/3368089.3409721}
}