Adaptation Models for Cloud-native Applications

云是一种自服务和按需计算模型，传统上由用户执行的任务由云软件自动提供。它已经成为私有和公共部门部署任务关键型应用程序的关键基础设施，这些应用程序被期望是健壮、安全和高性能的。这些品质很多时候都是通过自动化服务来实现的，这些服务监视应用程序及其环境，并使它们保持在所需的需求范围内。然而，应用程序的需求和自动化软件的能力之间的差距越来越大。基本上，由于缺乏可以取代人工专业知识的模型，只有一小部分云计算操作可以自动化。这一差距导致业界开始了一个新的实践领域，AIOps （IT运营的人工智能），它需要“使用人工智能来简化IT运营管理，并在复杂的现代IT环境中加速和自动化解决问题。”在这种合作关系中，我们探索自动化软件，即管理跨云基础设施、平台和/或最终用户应用程序和服务的其他软件的应用程序、平台和服务。此次合作的长期目标是研究与应用无关的技术，以设计、开发、验证和管理灵活、有弹性的基于人工智能的自动化云原生软件系统。对双方的预期利益是：在专利、原型、产品和出版物中实现新的科学和技术进步；通过会议、研讨会和演讲交流知识；以及有能力应对新兴经济体挑战的新一代人才。这种伙伴关系将通过以下方式直接惠及所有加拿大人：1)推进我们的知识，向社会通报云自动化和人工智能；2)提供有竞争力的产品/服务差异化，并为行业提供将关键云和人工智能相关技术商业化的机会；3)培养新一代高素质人才。

Cloud is a self-serving and on-demand computing model, in which traditionally user-performed tasks are automated and provided by cloud software. It has become critical infrastructure where private and public sectors deploy mission- critical applications that are expected to be robust, secure, and performant. These qualities are many times achieved through automation services that monitor the applications and their environment and keep them within the desired requirements. However, there is an increasing gap between the application's requirements and the capability of automation software. Basically, only a small fraction of cloud operations can be automated due to a lack of models that can replace human expertise. This gap has led the industry to start a new field of practice, AIOps (Artificial Intelligence for IT Operations), which entails "the use of artificial intelligence to simplify IT operations management and accelerate and automate problem resolution in complex modern IT environments." In this partnership, we explore automation software, that is the applications, platforms, and services that manage other software across the cloud infrastructure, platforms, and/or the end-user applications and services. The long-term goal of this partnership is to investigate application-agnostic techniques to design, develop, verify, and manage flexible and resilient AI-based automated cloud-native software systems. The expected benefits to both partners are: new scientific and technological advancements materialized in patents, prototypes, products and publications; exchange of knowledge through meetings, workshops and presentations; and a new generation of talent, capable of addressing the challenges of nascent economies. This partnership will be of direct benefit to all Canadians by: 1) advancing our knowledge and informing society on cloud automation and AI; 2) providing a competitive product/service differentiator to and opportunities for industry to commercialize key cloud- and AI-related technologies; and 3) creating a new generation of highly qualified personnel.