Intelligent Resource Allocation Strategies for Next Generation Optical Networks

下一代光网络的智能资源分配策略

• 批准号: RGPIN-2015-05641
• 负责人: Jaekel, Arunita
• 金额: $ 1.75万
• 依托单位: University of Windsor
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=654428
• 关键词: Intelligent; Resource; Allocation; Strategies; Next

Optical networks are undergoing significant changes, fueled by the rapid growth of the internet. The next generation optical network infrastructure will need to be made more customizable and responsive to user/application requirements. Recent advances in key optical transport technologies such as flexible wavelength division multiplexing (WDM) grid, support for traffic heterogeneity, as well as the emergence of software defined optics (SDO) can be used to address many of these challenges. In the future, software will play an increasingly important role in controlling network components and allocating resources based on a wide range of parameters such as bandwidth, quality of transmission (QoT), energy consumption, as well as reliability and security needs of different applications. This will give rise to a tremendous need for developing sophisticated and adaptive resource allocation strategies and robust control mechanisms that can be deployed in the control and management plane of next generation optical network infrastructure.****This research will focus on the development of innovative mechanisms for customizable resource allocation, and recovery from component failures as well as protecting data from malicious attacks. We will apply novel Operations Research (OR) techniques that exploit the inherent special structure of certain design problems to obtain optimal or near-optimal solutions. Recent work in this area has yielded promising results for network optimization; however, the full potential for the application of such methodologies is yet to be investigated properly. In addition to optimizing traditional network resources such as computing/processing power of nodes and capacity/bandwidth of the links, specialized algorithms to meet the following design objectives will be developed.***1. Intelligent scheduling techniques for energy efficient optical network design. ***2. Routing and wavelength allocation strategies that minimize the risk of service disruption due to signal interference and malicious attacks. ***3. Enhanced fault tolerance and survivability schemes for reliable communication in optical grids. ***4. Optimized energy and bandwidth allocation for mixed line rate (MLR) networks.

在互联网快速发展的推动下，光网络正在经历重大变化。下一代光网络基础设施将需要更加可定制并能够响应用户/应用程序的需求。关键光传输技术的最新进展，例如灵活的波分复用 (WDM) 网格、对流量异构性的支持，以及软件定义光学 (SDO) 的出现，可用于解决其中许多挑战。未来，软件将在控制网络组件和根据各种参数（例如带宽、传输质量（QoT）、能耗以及不同应用的可靠性和安全性需求）分配资源方面发挥越来越重要的作用。这将迫切需要开发复杂的、自适应的资源分配策略和强大的控制机制，这些策略和控制机制可以部署在下一代光网络基础设施的控制和管理平面中。****本研究将重点关注创新技术的开发可定制的资源分配、组件故障恢复以及保护数据免受恶意攻击的机制。我们将应用新颖的运筹学 (OR) 技术，利用某些设计问题的固有特殊结构来获得最佳或接近最佳的解决方案。最近该领域的工作在网络优化方面取得了可喜的成果；然而，应用此类方法的全部潜力仍有待适当研究。除了优化节点的计算/处理能力和链路的容量/带宽等传统网络资源外，还将开发满足以下设计目标的专用算法。***1。用于节能光网络设计的智能调度技术。 ***2.路由和波长分配策略可最大限度地降低由于信号干扰和恶意攻击而导致服务中断的风险。 ***3.增强的容错性和生存性方案，以实现光纤网格中的可靠通信。 ***4.混合线速 (MLR) 网络的优化能源和带宽分配。