NeTS: Small: Design and Provisioning of Low-Carbon Optical Datacenter Networks

该项目的重点是动态骨干网和城域接入网的网络设计、配置和流量工程问题，以支持绿色云计算的“跟风/太阳”计算范式。 该范例基于以下观察：将数据和计算移动到具有本地绿色能量的站点比将绿色能量源连接到电网然后将绿色电力传输到远程数据中心更节能。 该项目将研究网络设计和流量工程时，产生流量负载的元素的位置是一个可能的自由度。 这些子问题包括：1）数据中心的布置既要接近绿色能源，又要了解现有的网络部署; 2）网络容量规划和速率容量分配，其中数据中心可以基于能源可用性动态加电/断电; 3）基于网络考虑和对绿色能源可用性的估计，将用户服务请求路由到数据中心。该项目将探索和量化数据中心更好地使用绿色可再生能源，这是一个重要的电力消费者。 该项目将产生见解，协助行业在未来的设计，放置和操作的绿色数据中心。 PI将培训本科生（通过REU计划）和研究生在能源管理的跨学科领域。 作为培训的一部分，PI将举行高度互动的每周会议，学生们积极相互学习。

This project focuses on the issues of network design, provisioning, and traffic engineering for dynamic backbone and metropolitan access networks needed to support a "follow the wind/sun" computing paradigm for green cloud computing. This paradigm is based on the observation that it is more energy efficient to move data and computations to a site with local green energy than it is to connect green energy sources to a power grid and then transmit the green power to distant data centers. The project will study network design and traffic engineering when placement of the elements generating the traffic load is a possible degree of freedom. The sub-problems include 1) placement of data centers to both be close to green energy and aware of existing network deployment, 2) network capacity planning and rate capacity assignment for networks where data centers may be dynamically powered up/down based on energy availability, 3) routing of user service requests to data centers based on network considerations and estimates of green energy availability.Broader Impact:This project will explore and quantify better use of green-renewable energy by data-centers, a significant consumer of electric power. The project will produce insights that assist industry in the future design, placement and operation of green data centers. The PIs will train undergraduate (via the REU program) and graduate students in the interdisciplinary area of energy management. As part of the training the PIs will hold highly-interactive weekly meetings in which students actively learn from each other.