Dynamic Optimisation for automated real time provisioning of Cloud based and Wide Area Networks (DO)

在平板电脑、智能手机、视频流和新服务、“物联网”、机器对机器、电子医疗和智慧城市的推动下，网络流量和数据消费的增长是前所未有的。5G等技术将增加容量，但在电信行业，目前的投资成本首次超过了当前的资产回报率。思科估计，到2019年，互联网用户将达到39亿，网络设备将达到240亿（自2014年以来增长了100亿）。网络提供商面临着巨大的压力，需要构建具有优化容量和服务质量的网络，以提供最佳的投资回报率。这推动了网络和数据中心运营和管理的新方法。软件定义网络（SDN）和网络功能虚拟化（NFV）被视为将在几秒钟内实现环境自动化的解决方案，而不是“手动操作”几个小时。自动化减少了时间范围，但只有当与优化相结合时，它才能提供所需的经济效益。Aria的动态优化（DO）使服务成本最小化，并使容量利用率最大化。一个获奖的爱立信/Viavi/Aria概念验证（POC）已经开发出来。人工智能被视为在这种动态环境中实现技术和财务目标复杂性的最可行和最具创新性的解决方案。该项目将概念转化为客户试用质量原型，不仅包括技术和财务优化，还包括环境优化，如优化功耗或碳足迹。

The growth in network traffic and data consumption is unprecedented, driven by tablets, smart phones, video streaming, and new services, the 'Internet of Things,' machine-to-machine, E-Health, and Smart Cities.Technologies such as 5G will increase capacity, however for the first time in the telecommunications industry the current cost of investment is outstripping the current return on assets. Cisco estimated 3.9 billion internet users, with 24 billion (10b increase since 2014) networked devices by 2019. There is huge pressure on network providers to build networks with optimised capacity and quality of service to deliver an optimal ROI. This is driving a new approach to the operation and management of networks and datacentres. Software Defined Networking (SDN) and Network Function Virtualisation (NFV) are seen as solutions that will automate the environment taking seconds rather than 'manual operated' hours. Automation reduces the timeframes, but only when coupled with Optimisation will it deliver the required financial benefits. Aria's Dynamic Optimisation (DO) minimises the cost of service and maximizes the utilisation of capacity. An award winning 'DO' Ericsson /Viavi/Aria proof of concept (POC) has been developed. Artificial Intelligence was seen as the most viable and innovative solution to deliver the complexity of technical and financial objective in this dynamic environment. This project moves a concept to customer trial quality prototype that includes not only technical and financial optimisation, but also environmental, such as optimised power consumption or carbon footprint.