Ciena

About: Ciena is a company organization based out in Hanover, Maryland, United States. It is known for research contribution in the topics: Signal & Node (networking). The organization has 1259 authors who have published 1557 publications receiving 25989 citations.

Precision time transfer systems and methods in optical networks

Abstract: A precision time transfer method, in a first node that communicates with a second node, to determine a difference in time between the first node and the second node, the precision time transfer method includes receiving a departure time, T D-A , from the second node, wherein the departure time is determined by the second node based on detecting a timing marker in a Forward Error Correction (FEC) frame or logical layer; determining an arrival time, T A-B , based on detecting the timing marker in the FEC frame; and determining a time difference based on the departure time and the arrival time wherein the timing marker is detected at a last point in a transmitter of the second node and at a first point in a receiver of the first node, during FEC processing.

Method and apparatus for sorting components

Abstract: The component parts for assembly of a device, such as the passive optical components of an optical amplifier, are automatically selected from among a supply of available component parts. Each component part has a performance parameter such as insertion loss associated therewith. Stored in a database memory are component part data for each component part of the supply of available component parts. The component part data are in a computer readable format and indicative of a type of each part and the performance parameter of each part. To obtain the selection of parts of the device for assembly, the component part data for a plurality of the available component parts is retrieved from the database, and the thus retrieved plurality of component part data are sorted according to at least the performance parameter of each retrieved component part data. At least one component part among the sorted component part data is selected based on a preset parameter. Then, at least one remaining component part among the sorted component part data is identified based at least on the performance parameter of the at least one component part and the performance parameter of the at least one remaining component part.

Electronic assembly with modular midplane

Abstract: A modular electronic assembly includes a chassis, a housing supported by the chassis having an access opening through a first wall of the housing, a removable access panel or releasable member at least partially covering the opening, and a midplane supported by the chassis and slidably removable from the chassis through the opening when the housing is mounted on the chassis. A method of constructing a modular electronic assembly is also disclosed.

Adaptive optical modem configuration based on operating conditions

Abstract: Systems and methods for operating an optical modem include operating with first operating settings; and, responsive to detection or expectation of a disturbance in an operating condition associated with the optical modem, operating with second operating settings for a time period based on statistical properties of the disturbance. The systems and methods can further include reverting to the first operating settings after the time period. The disturbance can be a polarization transient or a transient affecting a laser or a clock. The second operating settings can cause a reduced margin relative to the first operating settings for the time period.

Systems and methods to compute carbon footprint of network services with network function virtualization (NFV) and software defined networking (SDN)

Abstract: A method, through a server, to determine carbon footprint of a network service, in a network, includes determining power consumption and cooling requirements of network devices associated with the network service; determining associated carbon footprint coefficients for power sources associated with each of the network devices; and determining carbon footprint of the network service based on the power consumption, the cooling requirements, and the associated carbon footprint coefficients.