Grooming Multicast Traffic in Flexible Optical Wavelength Division Multiplexing WDM Networks
    11.
    发明申请
    Grooming Multicast Traffic in Flexible Optical Wavelength Division Multiplexing WDM Networks 有权
    柔性光波分复用WDM网络中的整合组播流量

    公开(公告)号:US20150222386A1

    公开(公告)日:2015-08-06

    申请号:US14613743

    申请日:2015-02-04

    Abstract: There is provided a distance-adaptive and fragmentation-aware all-optical traffic grooming (DFG) method, which addresses the all-optical traffic grooming problem while considering the transmission reach constraints. The DFG procedure provisions traffic demands in optical channels such that the spectrum requires for guard bands is minimized. The DFG procedure provisions optical channels such that network fragmentation is minimized while ensuring the transmission reach constrains over flexible-grid WDM networks.

    Abstract translation: 提供了一种适应远程自适应和分段感知的全光流量梳理(DFG)方法,在考虑传输距离限制的同时解决了全光流量梳理问题。 DFG过程提供了光通道中的业务需求,使得对保护带的频谱要求最小化。 DFG过程提供光通道,使得网络分段被最小化,同时确保传输在柔性网格WDM网络上达到约束。

    CLOUD SERVICE EMBEDDING WITH SHARED PROTECTION IN SOFTWARE-DEFINED FLEXIBLE-GRID OPTICAL TRANSPORT NETWORKS
    12.
    发明申请
    CLOUD SERVICE EMBEDDING WITH SHARED PROTECTION IN SOFTWARE-DEFINED FLEXIBLE-GRID OPTICAL TRANSPORT NETWORKS 有权
    软件定义灵活网格运输网络中的共享保护云服务嵌入

    公开(公告)号:US20150220740A1

    公开(公告)日:2015-08-06

    申请号:US14547732

    申请日:2014-11-19

    Abstract: A method and apparatus are provided for embedding cloud demands with shared protection in a software-defined flexible-grid optical transport network. The method includes mapping working virtual nodes of the cloud demands over physical nodes of the network. The method further includes mapping backup virtual nodes of the cloud demands over the physical nodes. The method also includes mapping working virtual links of the cloud demands over physical routes of the network. The method additionally includes mapping backup virtual links of the cloud demands over the physical routes. The mapping steps are performed by an optical-defined controller having a processor.

    Abstract translation: 提供了一种在软件定义的灵活网格光传输网络中将具有共享保护的云需求嵌入的方法和装置。 该方法包括将云要求的工作虚拟节点映射到网络的物理节点上。 该方法还包括在物理节点上映射云需求的备份虚拟节点。 该方法还包括在网络的物理路由上映射云需求的工作虚拟链路。 该方法还包括映射物理路由上的云需求的备份虚拟链路。 映射步骤由具有处理器的光学定义控制器执行。

    SECURE WAVELENGTH SELECTIVE SWITCH-BASED RECONFIGURABLE BRANCHING UNIT FOR SUBMARINE NETWORK
    13.
    发明申请
    SECURE WAVELENGTH SELECTIVE SWITCH-BASED RECONFIGURABLE BRANCHING UNIT FOR SUBMARINE NETWORK 有权
    安全波长选择开关的子网络可重新分配单元

    公开(公告)号:US20150093116A1

    公开(公告)日:2015-04-02

    申请号:US14504597

    申请日:2014-10-02

    Abstract: Systems and methods for method for data transport using secure reconfigurable branching units, including receiving signals from a first trunk terminal and a second trunk terminal by branching units. Broadcasting is prevented for secure information delivery by dividing, within the branching units, the one or more signals from the first trunk terminal and the second trunk terminal into two or more sections, and sending the two or More sections to an optical coupler. Signals may be received from a branch terminal by one or more branching units using two fiber pairs, and the signals from the branch terminals may be divided into two or more groups of optical sections, wherein one of the sections includes dummy light. The divided, signals from the first trunk terminal, the second trunk terminal, and dummy light from the branch terminal may be merged, and the merged signal sent to the branch terminal.

    Abstract translation: 使用安全可重配置分支单元的数据传输方法的系统和方法,包括通过分支单元从第一中继线端子和第二干线端子接收信号。 通过在分支单元内将来自第一干线端子和第二干线端子的一个或多个信号分成两个或更多个部分,并将两个或更多个部分发送到光耦合器,来防止广播被安全地传送。 可以通过使用两个光纤对的一个或多个分支单元从分支终端接收信号,并且来自分支终端的信号可以被划分为两组或更多组光学部分,其中一个部分包括虚拟光。 来自第一中继线端子,第二干线端子和来自分支端子的虚拟光线的信号可以被合并,并且合并信号被发送到分支终端。

    Intent-based network computing job assignment

    公开(公告)号:US12047242B2

    公开(公告)日:2024-07-23

    申请号:US18481988

    申请日:2023-10-05

    CPC classification number: H04L41/0896 H04L41/122

    Abstract: Described is a novel framework, we call intent-based computing jobs assignment framework, for efficiently accommodating a clients' computing job requests in a mobile edge computing infrastructure. We define the intent-based computing job assignment problem, which jointly optimizes the virtual topology design and virtual topology mapping with the objective of minimizing the total bandwidth consumption. We use the Integer Linear Programming (ILP) technique to formulate this problem, and to facilitate the optimal solution. In addition, we employ a novel and efficient heuristic algorithm, called modified Steiner tree-based (MST-based) heuristic, which coordinately determines the virtual topology design and the virtual topology mapping. Comprehensive simulations to evaluate the performance of our solutions show that the MST-based heuristic can achieve an efficient performance that is close to the optimal performance obtained by the ILP solution.

    Distributed fiber optic sensor placement

    公开(公告)号:US12028110B2

    公开(公告)日:2024-07-02

    申请号:US17713171

    申请日:2022-04-04

    CPC classification number: H04B10/27 H04Q11/0062 H04Q2011/009

    Abstract: A procedure to solve the DFOS placement problem that uses a genetic algorithm to achieve a global optimization of sensor placement. First, our procedure according to aspects of the present disclosure defines a fitness function that counts the number of DFOS sensors used. Second, the procedure uses a valid DFOS placement assignment to model an individual in the genetic algorithm. Each individual consists of N genes, where N is the number of nodes in the given network infrastructure, e.g., N=|V|. Each gene has two genomes: (1) a list of 0s and/or 1s, in which is represent the network nodes that are equipped with DFOS sensors, and 0s represent the nodes that are not equipped with DFOS sensors; (2) a list of sensing fiber routes. An individual that has smallest number of is in their genes will be considered as the strongest individual. Thirdly, the procedure randomly generates a population of individuals. After a certain number of generations of population, the strongest individual in the last generation will be the global optima for the DFOS placement assignment.

    Machine learning based classification of higher-order spatial modes

    公开(公告)号:US10763989B2

    公开(公告)日:2020-09-01

    申请号:US16655103

    申请日:2019-10-16

    Abstract: Aspects of the present disclosure describe systems, methods and structures for classification of higher-order spatial modes using machine learning systems and methods in which the classification of high-order spatial modes emitted from a multimode optical fiber does not require indirect measurement of the complex amplitude of a light beam's electric field using interferometry or, holographic techniques via unconventional optical devices/elements, which have prohibitive cost and efficacy; classification of high-order spatial modes emitted from a multimode optical fiber is not dependent on a light beam's alignment, size, wave front (e.g. curvature, etc.), polarization, or wavelength, which has prohibitive cost and efficacy; classification of higher-order spatial modes from a multimode optical fiber does not require a prohibitive amount of experimentally generated training examples, which, in turn, has prohibitive efficacy; and the light beam from a multimode optical fiber can be advantageously separated into two orthogonal polarization components, such that, the different linear combination of higher order spatial modes comprising each polarization component can be classified.

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