Source: http://www.google.com/patents/US20030099014?dq=5,941,947
Timestamp: 2015-03-27 21:44:42
Document Index: 397987965

Matched Legal Cases: ['art 800', 'art 800', 'art 800', 'art 800', 'art 800', 'art 800']

Patent US20030099014 - System and method for optimized design of an optical network - Google PatentsSearch Images Maps Play YouTube News Gmail Drive More »Sign inAdvanced Patent SearchPatentsA method of designing a network configuration comprising designating placement of a plurality of network components within a first network configuration having a plurality of sites and a respective physical link interconnecting two of the plurality of sites, modeling conveyance of an optical signal along...http://www.google.com/patents/US20030099014?utm_source=gb-gplus-sharePatent US20030099014 - System and method for optimized design of an optical networkAdvanced Patent SearchPublication numberUS20030099014 A1Publication typeApplicationApplication numberUS 10/133,695Publication dateMay 29, 2003Filing dateApr 25, 2002Priority dateApr 26, 2001Publication number10133695, 133695, US 2003/0099014 A1, US 2003/099014 A1, US 20030099014 A1, US 20030099014A1, US 2003099014 A1, US 2003099014A1, US-A1-20030099014, US-A1-2003099014, US2003/0099014A1, US2003/099014A1, US20030099014 A1, US20030099014A1, US2003099014 A1, US2003099014A1InventorsWill Egner, Vinay Mallapu, Yindong ZhengOriginal AssigneeEgner Will A., Mallapu Vinay Kumar Reddy, Yindong ZhengExport CitationBiBTeX, EndNote, RefManReferenced by (65), Classifications (15), Legal Events (4) External Links: USPTO, USPTO Assignment, EspacenetSystem and method for optimized design of an optical network
[0120] where SDP is the statistical design point and σ2 is the variance. [0121] As mentioned hereinabove, algorithm 10 may provide various outputs to an operator thereof. For example, an optimized network map 30 detailing network design sites, network components selected for population of various network sites, and graphical indications of RWAs may be visually summarized in a visual output. Other outputs, such as network layer specifications 31 detailing network site and connectivities therebetween, listings of equipment 32 selected for deployment within the selected network design, as well as visual output of signal trace(s) 33. Algorithm 10 may provide various other outputs as well. For example, cost optimization bar graphs may be generated by algorithm 10 that provide an effective and intuitive demonstration of network cost savings obtained through analysis of various network design configurations. [0122] With reference to FIG. 20, there is shown a cost optimization bar chart 800 that may be generated by algorithm 10 and displayed on an output device, such as a cathode ray tube or another display device. The exemplary bar chart 800 is displayed within a graphical user interface provided by a windowing computer system, as is conventional. Bar chart 800 may include a plurality of graphical bars 810-813. An x-axis may specify a particular network configuration and the y-axis may specify the cost of the configuration. Each graphical bar 810-813 may be graphically partitioned into respective subregions 810A-810D - 813A-813D. As described hereinabove, during network design and reconfiguration, individual network components may be selected for placement within the network design and a cost effect of the selection is analyzed. For example, a network cost may be calculated by summing site cost matrices. Site cost matrices are generated by indexing unit (component) prices from a unit price matrix and multiplying the unit price by the number of the associated units selected for the site. Accordingly, the cost of a site is calculated by performing such a routine for each component model selected for the site. As aforedescribed, each network component is categorized according to a general functional type or class. Component class costs may be developed in a manner similar to site costs, namely by multiplying the unit price cost of each component selected from a particular class with the number of that particular component models selected for placement within the network. The numerical value of a component class costs may be converted to a graphical relation and displayed in bar chart 800. In the illustrative example, subregions 810A-813A are graphical representations of optical amplification class costs in a network design and subregions 810B-813D may be representative of transmission card-class components. Similarly, subregions 810C-813C and 810D-813D may be representative of a particular component class cost, such as fiber-class components, tributary card-class components, or other functionally categorized component classifications. Textual and/or numerical information may be provided in conjunction with bar chart 800 to facilitate an easy understanding of the information conveyed to the user. For example, each subregion 810A-810D-813A-813 d may have a numerical dollar value included for display within the respective subregion that indicates the dollar amount of all components selected for a particular network configuration from a common equipment class. Numerical identifiers 830-833 may be associated with a particular bar and identify a particular network configuration so that reductions and/or increases in a component-class from one network configuration to another may be easily determined by the user. The cost optimization bar chart 800 is exemplary only and various such graphical outputs for facilitating an understanding of the impact of various network configurations on a network cost are possible. Similarly, graphical output illustrative of RWA variations on the network cost may be generated by algorithm 10. [0123] With reference now to FIG. 21, there is a block diagram of computer system 900, or another apparatus operable to execute a computer-readable instruction set, that may be used to execute algorithm 10 and the various subroutines thereof. Computer system 900 stores algorithm 10 in a memory unit 940. Through conventional techniques, algorithm 10 is executed by an operating system 950 and one or more conventional processing elements 955 such as a central processing unit. Operating system 950 performs functionality similar to conventional operating systems, controls the resources of computer system 900, and interfaces the instructions of algorithm 10 with processing element 955 as necessary to enable algorithm 10 to properly run. [0124] Processing element 955 communicates to and drives the other elements within computer system 900 via a local interface 960, which may comprise one or more buses. Furthermore, an input device 965, for example a keyboard or a mouse, can be used to input data from a user of computer system 900. A disk storage device 980 can be connected to local interface 960 to transfer data to and from a nonvolatile disk, for example a magnetic disk, optical disk, or another device. An output device, such as a printer, cathode ray tube, or another display device, may provide output generated from execution of algorithm 10 by processing element 955 to the user of computer system 900 and algorithm 10. [0125] As described, the present invention provides a computer-aided optical network design that facilitates minimization of wavelength usage and optimization of waveband grouping and sequencing during network design. The present invention models light path characteristics and corresponding signal losses by generation of signal traces to facilitate a network configuration featuring the most economical cost for specified network performance requirements. Calculation and analysis of signal traces provide a technique for determining performance and cost effects of different network components. By varying the light path characteristics of the network design configuration, the impact on overall network performance and cost is evaluated. Minimization of wavelength usage facilitates a reduction in equipment costs at the optical layer by reducing the number of requisite lasers, detectors, and common equipment. Moreover, automated placement of amplification and/or regeneration components within the network design is facilitated by modeling optical signal deterioration that may include signal loss, noise accumulation, and dispersion effects. [0126] While the invention has been particularly shown and described by the foregoing detailed description, it will be understood by those skilled in the art that various changes, alterations, modifications, mutations and derivations in form and detail may be made without departing from the spirit and scope of the invention. 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cost-efficient and sustainable transparent optically-routed network for network capacities of greater than 1 petabit(s)* Cited by examinerClassifications U.S. Classification398/79International ClassificationH04L12/24, H04L12/26, H04J14/02Cooperative ClassificationH04J14/0241, H04L41/0826, H04L41/22, H04J14/0284, H04L41/145, H04J14/0227, H04J14/0283European ClassificationH04L41/14B, H04L41/22, H04L41/08A3A, H04J14/02MLegal EventsDateCodeEventDescriptionJun 10, 2013ASAssignmentEffective date: 20130607Owner name: GLOW NETWORKS, INC., TEXASFree format text: RELEASE BY SECURED PARTY;ASSIGNOR:SILICON VALLEY BANK;REEL/FRAME:030620/0655Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:SILICON VALLEY BANK;REEL/FRAME:030620/0812Effective date: 20130607Owner name: GLOW NETWORKS, INC., TEXASJul 1, 2005ASAssignmentOwner name: SILICON VALLEY BANK, CALIFORNIAFree format text: SECURITY INTEREST;ASSIGNOR:GLOW NETWORKS, INC.;REEL/FRAME:016733/0984Effective date: 20050613Nov 4, 2002ASAssignmentOwner name: SILICON VALLEY BANK, CALIFORNIAFree format text: SECURITY INTEREST;ASSIGNOR:GLOW NETWORKS, INC.;REEL/FRAME:013452/0243Effective date: 20020117Sep 18, 2002ASAssignmentOwner name: GLOW NETWORKS, INC., TEXASFree format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:EGNER, WILL A.;MALLAPU, VINAY KUMAR REDDY;ZHENG, YINDONG;REEL/FRAME:013303/0203Effective date: 20020607RotateOriginal ImageGoogle Home - Sitemap - USPTO Bulk Downloads - Privacy Policy - Terms of Service - About Google Patents - Send FeedbackData provided by IFI CLAIMS Patent Services