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Intelligent Resource Allocation Strategies for Next Generation Optical Networks

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:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

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中文摘要
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英文摘要
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.
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Secure and reliable communication strategies for connected and autonomous vehicles
  • 批准号:
    RGPIN-2022-03254
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
  • 财政年份:
    2022
  • 负责人:
    Jaekel, Arunita
  • 依托单位:
Intelligent Resource Allocation Strategies for Next Generation Optical Networks
  • 批准号:
    RGPIN-2015-05641
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2018
  • 负责人:
    Jaekel, Arunita
  • 依托单位:
Intelligent Resource Allocation Strategies for Next Generation Optical Networks
  • 批准号:
    RGPIN-2015-05641
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2017
  • 负责人:
    Jaekel, Arunita
  • 依托单位:
Intelligent Resource Allocation Strategies for Next Generation Optical Networks
  • 批准号:
    RGPIN-2015-05641
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2016
  • 负责人:
    Jaekel, Arunita
  • 依托单位:
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