AI-enabled, self-adaptive software-defined networking for the Small Office and Home Office (SOHO)

小型办公室和家庭办公室(SOHO)市场在当前和未来的加拿大经济中扮演着关键角色。SOHO在很大程度上依赖软件定义的网络来提供集中的网络控制，以及用于高效网络配置和监控的设施。随着企业和整个社会对互联网的前所未有的依赖，SOHO中的可靠连接已经成为必须的。该项目将开发一种启用人工智能(AI)的方法，用于SOHO网络中适配规则的自动派生和操作。我们的研究是科学应用人工智能-更具体地说是机器学习和进化算法-使SOHO网络自适应的第一次尝试。该项目将是渥太华大学和RabbitRun Technologies的双边合作伙伴关系：RabbitRun Technologies是一家总部位于安大略省的中小企业，制造创新的SOHO网络产品。该项目的主要成果将是一个经过科学设计和评估的解决方案，通过应用先进的人工智能技术为SOHO网络带来自适应。该解决方案是对观察到的行业需求的回应，因此有可能直接影响本已庞大且蓬勃发展的SOHO市场。为了展示其实际实用性和与市场需求的一致性，开发的解决方案将以真实世界的工业场景为基准。

The small office and home office (SOHO) market plays a critical role in the current and future Canadian economy. SOHO heavily relies on software-defined networking to provide centralized network control alongside facilities for efficient network configuration and monitoring. With the unprecedented reliance of businesses and the society at large on the Internet, reliable connectivity in SOHO has become a must.This project will develop an Artificial Intelligence (AI)-enabled approach for the automatic derivation and operationalization of adaptation rules in SOHO networks. Our research is the first attempt at scientifically applying AI - more specifically machine learning and evolutionary algorithms - for making SOHO networks self-adaptive. The project will be a bilateral partnership between the University of Ottawa and RabbitRun Technologies: an Ontario-based SME, manufacturing innovative SOHO networking products.The main outcome of the project will be a scientifically designed and evaluated solution that brings self-adaptivity to SOHO networks through the application of advanced AI techniques. The solution is in response to observed industrial needs, thus bearing the potential for direct impact on the already large and thriving SOHO market. To demonstrate its practical usefulness and alignment with market needs, the developed solution will be benchmarked on real-world industrial scenarios.