Richard R Lau, Age 7310 Colburn Rd, East Brunswick, NJ 08816

6836466, Dec 28, 2004

May 26, 2000

09/579371

Krishna Kant - Eatontown NJ
Richard C. Lau - Morganville NJ
Bruce Siegell - Shrewsbury NJ

Telcordia Technologies, Inc. - Piscataway NJ

G06F 1100

370252, 370232, 370235, 3702411, 370248, 375225

A method and system is provided for measuring network performance. The method and system divides a stream of packets flowing through a first point into frames, the first point being any point in the network that supports a packet flow, creates packages corresponding to the frames, correlates each package with packets flowing through a second point, the second point being any point in the network that supports the packet flow, and calculates network performance information based on the correlated packages.

6839328, Jan 4, 2005

Jan 31, 2003

10/356089

Richard Lau - Morganville NJ, US
Arturo Cisneros - Lincroft NJ, US

Telcordia Technologies, Inc. - Piscataway NJ

G01R 3108

370252

The packet loss ratio for a network is measured using only end-point packet counter or byte counter data received from ingress and egress network elements, or all edge routers attached to edge network elements in a virtual private network (VPN). After preprocessing the packet count data from the end-points, the data signal is put through a low pass filter of one or more tap sizes to remove high frequency variations in the ingress and egress packet count data due to the inability to sample selected data sets simultaneously. After filtering the data may be integrated in order to increase detection of small amounts of data packet loss. In order to determine if measurable loss has been detected the standard deviation of the signal is calculated over a selected set of data points prior to the window in which the packet loss ratio is calculated. If the detected packet loss is greater than a predetermined detectability threshold based on the computed standard deviation for a target threshold rate for a certain filter size then the loss rate is reported.

6975597, Dec 13, 2005

Feb 11, 2000

09/503042

Albert D. Baker - Lincroft NJ, US
Richard Kwokchiu Lau - Red Bank NJ, US

Avaya Technology Corp. - Basking Ridge NJ

H04L012/28

370255, 370469

An autosensor or other communication system processing device determines which of a number of available link variants is required for a particular communication link that couples customer premises equipment (CPE) or another type of device to a network. The autosensor examines responses to messages sent over the link in order to determine one or more link variants associated therewith. The CPE or other device may then be automatically configured to support the determined link variant(s), e. g. , by activation of an appropriate protocol entity in the CPE or other device. For example, CPE may be coupled to a network via an Asynchronous Transfer Mode (ATM) virtual circuit (VC) established over a digital subscriber line (DSL). In such an arrangement, multiple protocols may be encapsulated within the ATM cells, with each of the multiple protocols corresponding to a link variant. The CPE in this case may correspond to an ADSL termination unit-receive (ATU-R) device, or other type of gateway.

7092707, Aug 15, 2006

Feb 13, 2004

10/779432

Richard Lau - Morganville NJ, US
Krishna Kant - Shrewsbury NJ, US
Ram Khare - Red Bank NJ, US

Telcordia Technologies, Inc. - Piscataway NJ

H04Q 7/20
H04B 1/38
H04B 7/00

455423, 455567, 455512, 379 2901

A system for the prioritization of quality of service (QoS) alerts and the analysis of the impact of such alerts on service uses a service model in which services are broken into one or more service components and sub-components. Creation of a service dependency model, which is driven by different phases of a service, is key to being able to understand how alerts at the lowest level of the network components affect the overall service for which they are but a component. Alerts are assigned a “handle” and a severity level. Rules are defined to be applied to the alerts to create a Component Status Indicator for each component including a handle. As each CSI propagates up towards the top of the service model dependency graph, each CSI gets modified according to predefined rules. A service impact index is created when the CSI is propagated to the top service component. For each service that is impacted, weights (multipler) are defined according to duration of the alert, number of subscribers, number of services, QoS class of the services impacted or other factors defined by user.

7159026, Jan 2, 2007

Jan 31, 2002

10/062904

Richard C. Lau - Morganville NJ, US
Frank C. D. Tsai - Morganville NJ, US
Arturo Cisneros - Lincroft NJ, US

Telcordia Technologies, Inc. - Piscataway NJ

G06F 15/173
G01R 31/08
G08C 15/00
H04J 3/14
H04L 12/26
H04L 12/56
G06F 15/16
G06F 11/00
H04J 1/16
H04L 1/00
H04L 12/28

709226, 709223, 709228, 709235, 370235, 37039521

Methods and apparatus are provided to determine performance of a network. A first measurement relating to a first layer of communications in the network and a second measurement relating to a second layer of communications in the network are provided. Based on the first and second measurements, a set of parameters is generated. The performance of the network is then determined based on the generated set of parameters.

7466652, Dec 16, 2008

Aug 13, 2004

10/918256

Richard Lau - Morganville NJ, US
Bruce Siegell - Shrewsbury NJ, US

Telcordia Technologies, Inc. - Piscataway NJ

H04L 12/26

3702301, 370235, 370328, 4554522

A system and method for the implementation of fine-grained quality of service in a mobile telecommunications environment uses an Auto-IP Policy Decision Point (PDP) to determine what traffic optimizations actions should be taken in reaction to various network conditions. The Auto-IP PDP uses as inputs information from a Ginterface probe to determine the user identification of an IP data flow, information from the radio access network (RAN) network management system (NMS) regarding network congestion. The cell traffic information is passed onto a traffic analysis and processing engine, the Auto-IP PDP which maps the real-time traffic information into an n-dimensional traffic model. An automated policy decision guiding algorithm is executed on the n-dimensional traffic model and selects policy based on the traffic and cell congestion conditions, without human intervention. Additionally, a consistency check is performed to ensure that new policies are consistent with existing policies. The policy decision outcome is forwarded to the Auto-IP Traffic Optimizer that acts on the network at a point in the network (G) that is different from where traffic problem occurs in the RAN.

7752333, Jul 6, 2010

Jan 18, 2000

09/484098

Albert D. Baker - Lincroft NJ, US
Richard Kwokchiu Lau - Red Bank NJ, US

Avaya Inc. - Basking Ridge NJ

G06F 15/16
G06F 15/173
H04L 12/28

709244, 709245, 709242, 709228, 37039531, 37039554, 370401

A local network is interfaced with one or more external network elements via a gateway that implements an address substitution mechanism for ensuring that communications between devices attached to the local network are not routed through an external network as a result of, e. g. , disparity in their remotely-assigned Internet protocol (IP) addresses. In accordance with the invention, the gateway is configured to intercept communications from devices on the local network in order to determine remotely-assigned IP address information for those devices. After such information is determined for a given device, the gateway creates a set of address substitution information that includes sub-network compatible addresses for use by other devices on the local network when communicating with the given device. Advantageously, the created address substitution information when utilized by the other devices on the local network to communicate with the given device ensures that such communications are not routed outside the local network regardless of IP address disparity between the devices.

7801073, Sep 21, 2010

Nov 27, 2007

11/986845

Richard Lau - Morganville NJ, US
Heechang Kim - Marlboro NJ, US
Bruce Siegell - Shrewsbury NJ, US

H04W 4/00

370328, 370401, 709238

A system and method for optimizing the efficiency of data sharing among a set of radio nodes in a radio environment is provided. The technique includes identifying a data unit and assigning it a class, identifying a connectivity type, computing a significance factor based on connectivity type and assigned class, mapping the significance factor to a priority factor, and scheduling output of the data unit based on the priority factor. A scheduler algorithm can be used for scheduling output. The class can be assigned based on which nodes of the set of radio nodes possess copies of the data unit at a given time. An arbitration process can be used to determine the priority factor. A significance factor weighting algorithm, based on how many nodes will be receiving the data and on how much a node needs the data, can be used to determine the significance factor.