Plexxi Inc.

3com Corporation

Reva Systems Corporation

Freescale Semiconductor,inc.

Synernetics Inc.

Hewlett Packard Enterprise Development LP

David J Husak

Anand Srinivas

Denis deRuijter

Jeffrey H Fischer

Pattabhiraman Krishna

Derek E Spock

Stephen A Hauser

Edward J McLellan

James Arthur Farrell

Richard Barry

Michael Jason Grady

Peter B Everdell

Ruoding Li

Scott Barvick

Chilton Lyons Cabot

Donald A Priore

Mark A Sankey

Jay L Madnick

Andrew T Brown

Thomas B Brightman

Matthew William Morgan

Andrew D Funk

John F Brown

Robert A Stephenson

Paul Schmitt

David William Nuechterlein

Stephen L Van Seters

Edward A Heiner, Jr

G Stodel Friedman

Robert Millard France

Matthew Melton

Jon L Fluker

Peter Spreadborough

Floyd J Backes

Robert A Stephensen

Lin Zhou

David F Barton

Nirav R Shah

Syed I Shah

Denis H Deruijter

Richard A Barry

Data center network architectures that can reduce the cost and complexity of data center networks. The data center network architectures can employ optical network topologies and optical nodes to efficiently allocate bandwidth within the data center networks, while reducing the physical interconnectivity requirements of the data center networks. The data center network architectures also allow computing resources within data center networks to be controlled and provisioned based at least in part on a combined network topology and application component topology, thereby enhancing overall application program performance.

Data center network architecture

Systems and methods of affinity modeling in data center networks that allow bandwidth to be efficiently allocated with the data center networks, while reducing the physical interconnectivity requirements of the data center networks. Such systems and methods of affinity modeling in data center networks further allow computing resources within the data center networks to be controlled and provisioned based at least in part on the network topology and an application component topology, thereby enhancing overall application program performance.

Affinity modeling in a data center network

Systems and methods of affinity modeling in data center networks that allow bandwidth to be efficiently allocated within the data center networks, while reducing the physical interconnectivity requirements of the data center networks. Such systems and methods of affinity modeling in data center networks further allow computing resources within the data center networks to be controlled and provisioned based at least in part on the network topology and an application component topology, thereby enhancing overall application program performance. Using an affinity topology describing requirements for communications between applications and a network topology, network nodes are configured to satisfy multicast dispersion and latency requirements associated with communications between applications.

Configuring a computer network to satisfy multicast dispersion and latency requirements using affinity and network topologies

Data center network architectures, systems, and methods that can reduce the cost and complexity of data center networks. Such data center network architectures, systems, and methods employ physical optical ring network and multi-dimensional network topologies and optical nodes to efficiently allocate bandwidth within the data center networks, while reducing the physical interconnectivity requirements of the data center networks. The respective optical nodes can be configured to provide various switching topologies, including, but not limited to, chordal ring switching topologies and multi-dimensional chordal ring switching topologies.

Optical architecture and channel plan employing multi-fiber configurations for data center network switching

Data center networks that employ optical network topologies and optical nodes to efficiently allocate bandwidth within the data center networks, while reducing the physical interconnectivity requirements of the data center networks. Such data center networks employ at least one central controller for controlling and provisioning computing resources within the data center networks based at least in part on the network topology and an application component topology, thereby enhancing overall application program performance.

Control and provisioning in a data center network with at least one central controller

Data center network architectures, systems, and methods that can reduce the cost and complexity of data center networks. Such data center network architectures, systems, and methods employ physical optical ring network topologies, optical nodes, and optical junction nodes to efficiently allocate bandwidth within the data center networks, while reducing the overall physical interconnectivity requirements of the data center networks.

Optical junction nodes for use in data center networks

Techniques for performing user-configurable traffic management functions on streams of packets. The functions include multicasting, discard, scheduling, including shaping, and segmentation and reassembly. In the techniques, the functions are not performed directly on the packets of the stream, but instead on descriptors that represent stored packets. Output of descriptors from all traffic queues, including discard traffic queues, is scheduled. Scheduling is done using a hierarchy of schedulers. The form of the hierarchy and the scheduling algorithms used by the schedulers in the hierarchy are both user configurable. As disclosed, the techniques are implemented in a traffic management coprocessor integrated circuit. The traffic manager coprocessor is used with a digital communications processor integrated circuit that performs switching functions. The buffers for the packets are in the digital communications processor. Also disclosed are a modified partial packet discard algorithm and a frame based deficit round robin scheduling algorithm.

Manipulating data streams in data stream processors

A system and method of scheduling RFID tag interrogations by a plurality of RFID readers so as to mitigate the effects of interference within an RFID environment in which the readers are deployed, and to enhance the efficiency and reliability of the overall RFID system. The system includes a plurality of RFID receivers for receiving RFID tag data, a plurality of RFID tag interrogators for transmitting RF interrogation signals for interrogating RFID tags, and a controller for providing to at least one interrogator, at least one receiver, and at least one tag, a parameter associated with operational characteristics of the interrogator, the receiver, and the tag, respectively. The interrogator, the receiver, and the tag are operative, in response to receipt of the respective parameter, to modify its operational characteristics in accordance with the respective parameter, thereby avoiding interference at the receivers and the tags.

Scheduling in an RFID system having a coordinated RFID tag reader array

A system and method for monitoring and characterizing various sources of RF interference within an RFID environment, and for adjusting the operational characteristics of an array of RFID readers within the system based on these interference characterizations. The system examines the received transmissions from readers in the network by controlling a calibration cycle or while they are operating as interrogators to determine interference parameters, and to verify the operation of the readers in the array. The system also examines outside sources of interference, and signal dependent interference. The interference characterization can also be estimated from a combination of calculations and co-monitoring.

Interference monitoring in an RFID system

A system and method of determining locations of one or more RFID tags within an RFID environment. The system includes a plurality of RFID readers, each operative to transmit and receive RF signals for scanning a tag disposed within an RF coverage region associated with the reader, and for receiving tag data in response to the scanning of the tag. A plurality of sub-locations is determined within the environment, each corresponding to at least a portion of at least one of a plurality of RF coverage regions associated with the readers. The sub-locations are mapped to a plurality of predefined locations within the environment. A reader scans a tag, and receives tag scan data from the tag in response to the scanning of the tag. The tag scan data includes a tag identifier associated with the scanned tag. The tag scan data is mapped to the sub-locations based on the RF coverage region associated with the reader. The location of the scanned tag is then determined with reference to the predefined locations within the environment, based on the tag identifier included in the tag scan data, the mapping of the tag scan data to the sub-locations, and the mapping of the sub-locations to the predefined locations.

Location virtualization in an RFID system

An architecture of an RFID system that facilitates the accessing of RFID tag data within an RFID environment. The architecture includes a plurality of RFID readers, each reader being operative to transmit a first RF signal for scanning at least one RFID tag disposed within an RF coverage region associated with the reader, and to receive at least one second RF signal including tag data in response to the scanning of the tag. The architecture further includes at least one host computer operative to execute at least one client application, and at least one controller/processor communicably coupled to the plurality of readers and the at least one host computer. The controller/processor is operative to control operation of the plurality of readers, to process the tag data received by the plurality of readers, and to provide the processed tag data to the at least one host computer for use by the at least one client application executing thereon.

RFID tag data acquisition system

An integrated circuit () for use in processing streams of data generally and streams of packets in particular. The integrated circuit () includes a number of packet processors (), a table look up engine (), a queue management engine () and a buffer management engine (). The packet processors () include a receive processor (), a transmit processor () and a risc core processor (), all of which are programmable. The receive processor () and the core processor () cooperate to receive and route packets being received and the core processor () and the transmit processor () cooperate to transmit packets. Routing is done by using information from the table look up engine () to determine a queue () in the queue management engine () which is to receive a descriptor () describing the received packet's payload.

High speed and high throughput digital communications processor with efficient cooperation between programmable processing components

Growing community of inventors

Windham, NH, United States of America

David J Husak