Smart virtual wan hypervisor for environmental-aware inter-data network

用于环境感知数据间网络的智能虚拟广域网管理程序

• 批准号: 461084-2013
• 负责人: Cheriet, Mohamed
• 金额: $ 7.29万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=618689
• 关键词: Smart; virtual; wan; hypervisor; environmental

Along with the advent of the ever-increasing cloud computing applications on Internet, WAN-based services are contributing significantly to the overall environmental footprint of the Information and Communications Technologies (ICT) industry. With an increase in traffic demand and heterogeneity of network architecture, WAN controllers are also facing challenges of interoperation, operational efficiency and quality of service. While environmental awareness is becoming a key requirement for WAN network providers, driven by forthcoming global cap and tax, hardly any experimental models or realizations of environmental awareness exist for WAN testbed so far. As a result, researchers lack resources for analyzing the ICT carbon footprint and green strategies holistically. This research project, in partnership with Ciena, Inocybe Technologies, and Prompt is therefore, aimed at building a novel energy-aware smart virtual WAN hypervisor for a next-generation carbon-neutral network evolved from the GreenStar Network (GSN) model, the first testbed in the world that realizes a green ICT initiative based on the "follow the wind, follow the sun" paradigm. In particular, the project will address new smart techniques for assessing and greening large-scale virtual networks based on advanced traffic modeling and cognitive algorithms. New context-aware analytical models will be developed to help carriers planning, optimizing, and monetizing their long-haul networks without excessive over-provisioning that could challenge the financial viability. Research outcome, empowered by Software-Defined Networking (SDN) and Network Function Virtualization (NFV) techniques, will pave the way to develop a class of new technologies supported by green virtual inter- data centre networks, a step forward in addressing the global warming issue using the ICT sector. This will also create a new opportunity to take advantage of the abundance of renewable energy and low average temperatures in Canada that are particularly suitable for cooling data centres, which consume large amounts of energy.

沿着互联网上日益增长的云计算应用的出现，基于WAN的服务对信息和通信技术（ICT）行业的整体环境足迹做出了重大贡献。随着流量需求的增加和网络架构的异构性，广域网控制器也面临着互操作性、运营效率和服务质量的挑战。虽然环境意识正在成为WAN网络提供商的关键要求，但由于即将到来的全球上限和税收，到目前为止，WAN测试平台几乎没有任何环境意识的实验模型或实现。因此，研究人员缺乏全面分析ICT碳足迹和绿色战略的资源。因此，该研究项目与Ciena、Inocybe Technologies和Prompt合作，旨在为从GreenStar Network（GSN）模型演变而来的下一代碳中和网络构建一个新的能源感知智能虚拟WAN虚拟机管理程序，该模型是世界上第一个基于“追随风，追随太阳”范式实现绿色ICT倡议的试验平台。特别是，该项目将基于先进的流量建模和认知算法，解决用于评估和绿化大规模虚拟网络的新智能技术。将开发新的上下文感知分析模型，以帮助运营商规划、优化和货币化其长途网络，而不会过度过度配置，这可能会挑战财务可行性。研究成果以软件定义网络（SDN）和网络功能虚拟化（NFV）技术为基础，将为开发一类由绿色虚拟数据中心间网络支持的新技术铺平道路，这是利用ICT行业解决全球变暖问题的一个进步。这也将创造一个新的机会，利用加拿大丰富的可再生能源和较低的平均气温，特别适合为消耗大量能源的数据中心降温。