Disaggregated Cloud

几十年前使用单片服务器构建云平台的方法效率低下。单片服务器在刚性服务器中预先打包了固定数量的计算、内存和存储资源，限制了升级资源、容忍设备故障和有效利用所有资源的能力。提出的研究将探索设计云基础设施和应用程序的新范式：分解云。该项目将探索构建完全分解的云基础设施的技术，首先将云硬件资源分解为网络连接的计算、内存和存储设备，然后将云应用程序分解为一组可单独调度、分配和执行的无服务器lambda函数。该项目具有广泛影响技术的潜力，因为它探索了设计系统的未知领域。这一创新项目可能会对技术产生广泛影响，包括影响许多建立云系统的加拿大公司（如华为、NetApp、爱立信和IBM）以及使用这些系统的150多个加拿大数据中心。最后，该项目将为培养尖端网络和存储技术方面的高素质人才提供宝贵的机会。

The decades-old approach for building cloud platforms using monolithic servers is inefficient. Monolithic servers pre-package a fixed amount of compute, memory, and storage recourses in rigid servers, limiting the ability to upgrade the resources, tolerate device failures, and efficiently utilize all the resources.The proposed research will explore a new paradigm for designing cloud infrastructure and applications: a disaggregated cloud. The project will explore techniques for building a completely disaggregated cloud infrastructure that first disaggregates cloud hardware resources into network-connected compute, memory, and storage devices and, second, disaggregates the cloud application into a set of server-less lambda functions that can be individually scheduled, allocated, and executed.This project has the potential to widely impact technology, as it explores uncharted territory for designing systems. This innovative project will potentially have a wide influence on technology, including influencing many Canadian companies that build cloud systems (e.g., Huawei, NetApp, Ericsson, and IBM) and the more than 150 Canadian data centers that use these systems. Finally, this program will provide an invaluable opportunity to train highly qualified personnel in cutting-edge networking and storage technology.