An element-agnostic approach to auto-scaling network elements for telco cloud

这个CRD项目是为了开发一种新的、统一的方法来自动扩展电信云的虚拟网络元素（vne）的容量，如虚拟路由器和虚拟交换机。电信云是指电信企业拥有和管理的云资源。通过将网络功能和服务转移到云端，电信云为电信运营商提供了前所未有的机会，以更低的成本为客户提供更好的服务。支持这种转变的核心技术之一是虚拟网络元素的敏捷管理，这是该CRD项目的最终目标。现有的自动缩放vne的工作是孤立地考虑这个问题的。特别是，工作负载预测和性能建模只关注一个应用程序，而不考虑多个应用程序之间的依赖关系。更好的解决方案是强制多个vne协作调整其容量。因此，我们不仅需要解决vne的多样性，还需要考虑vne之间的依赖性。利用队列网络、copula分析、机器学习和实验测试，本CRD项目将解决上述问题。本项目的输出包括一个通用的解决方案，适用于不同类型vne的自适应容量扩展。因此，该CRD项目将直接惠及加拿大电信业，并将加强大学研究与产业发展之间的桥梁。所涉及的研究将促进我们在电信行业云计算创新应用方面的知识。开发的技术可以直接应用于基于云的应用程序和我们的行业合作伙伴爱立信加拿大公司的产品中，并且在该项目中培训的高素质人员（HQP）将成为加拿大IT部门的宝贵资产。

This CRD project is to develop a new, unified approach to auto-scaling the capacity of virtual network elements (VNEs), such as virtual routers and virtual switches, for the telco cloud. The telco cloud refers to cloud resources owned and managed by telecommunication companies. By shifting network functions and services to cloud, the telco cloud provides telco operators with an unprecedented opportunity for offering their customers better services at a lower cost. One of the core technologies supporting this shift is the agile management of virtual network elements, which is the ultimate goal of this CRD project. Existing efforts in auto-scaling VNEs consider the problem in isolation. In particular, workload prediction and performance modeling are focused on one application without considering the dependency between multiple applications. A better solution is to enforce multiple VNEs to adapt their capacity collaboratively. We thus need to not only address the diversity of VNEs, but also consider the dependency among VNEs. Using network of queues, copula analysis, machine learning, and experimental test, this CRD project will tackle the above problems. This project's output consists of a general solution that is applicable for adaptive capacity scaling of different types of VNEs. As such, this CRD project directly benefits Canadian telecommunication industry and will strengthen the bridge between university research and industry development. The research involved will advance our knowledge in the innovative application of cloud computing in the telecommunication industry. The technology developed can be directly applied in the cloud-based applications and offerings of our industry partner, Ericsson Canada, and highly-qualified personnel (HQP) trained in the project will be valuable assets in the Canadian IT sector.