一句话：提出基于多准则决策分析的框架，在合规、隐私、可持续性与延迟约束下推荐并优化边缘感知的多云混合架构。
论文关注的是将应用部署到混合云——计算构件分散在公有云后端与私有边缘——时面临的架构设计难题。架构师必须同时满足硬性监管政策约束与业务政策约束，包括按业务意愿开展本地数据处理以实现隐私保护、后端对隐私增强技术（PET）的支持、以绿色能源利用衡量的可持续性，以及应用自身的延迟敏感性。作者提出一个基于多准则决策分析（MCDA）的框架，把这些异构因素纳入统一的评估与优化过程，从而推荐更优的混合云应用架构。论文通过实证实验展示了该方法的有效性，并声称这是同类工作中的首个成果。
Deploying applications on hybrid clouds with computational artifacts distributed over public backends and private edges involve several constraints. Designing such deployment requires application architects to solve several challenges, spanning over hard regulatory policy constraints as well as business policy constraints such as enablement of privacy by on-prem processing of data to the extent the business wants, backend support of privacy enabling technologies (PET), sustainability in terms of green energy utilization, latency sensitivity of the application. In this paper, we propose to optimize hybrid cloud application architectures, while taking all those factors into consideration, and empirically demonstrate the effectiveness of our approach. To the best of our knowledge, this work is the first of its kind.
@inproceedings{paperbot7289,
title = {MCDA Framework for Edge-Aware Multi-Cloud Hybrid Architecture Recommendation},
author = {Manish Ahuja and Narendranath Sukhavasi and Swapnajeet Choudhury and Kaushik Amar Das and Kapil Singi and Kuntal Dey and Vikrant Kaulgud},
booktitle = {ASE},
year = {2022},
doi = {10.1145/3551349.3559501}
}