University of North Carolina at Chapel Hill

International Business Machines Corporation

Kevin Jeffay

Frank Donelson Smith

James P Gray

Robert Elijah Broadhurst

Vachaspathi Peter Kompella

Andrew Nobel

Benjamin Newton

Jeffrey Terrell

Jayashree Aikat

Felix Hernandez-Campos

Methods, systems, and computer readable media for topology management and geographic routing in mobile ad-hoc networks are disclosed. One method for geographic routing in mobile ad-hoc networks includes receiving a first packet requiring routing at a first mobile node configured to operate in a mobile ad-hoc network where the first mobile node and other mobile nodes move relative to each other and are connected using directional wireless communications links. The method also includes performing greedy routing for the first packet, and in response to determining that no next hop neighbor node is closer to the destination than the first mobile node, performing face routing of the first packet, wherein performing greedy routing or face routing includes storing local topology information at the mobile nodes and using the local topology information when making routing decisions.

Methods, systems, and computer readable media for topology management and geographic routing in mobile ad-hoc networks

Methods, systems, and computer readable media for network server performance anomaly detection are disclosed. According to one aspect of the subject matter disclosed, a method is disclosed for real-time computation of an endpoint performance measure based on transport and network layer header information. The method includes passively collecting transport and network layer header information from packet traffic in a network. Connections in the network are modeled using an abstract syntax for characterizing a sequence of application-level bidirectional interactions between endpoints of each connection and delays between the interactions. Application-level characteristics of the packet traffic are determined based on the modeled connections. A performance measure of at least one endpoint is computed based on the application-level characteristics and the modeled connections.

Methods, systems, and computer program products for network server performance anomaly detection

Methods, systems, and computer program products are disclosed for determining application-level traffic characteristics in a network based on transport and network layer header information. Transport and network layer header information is collected from packet traffic in a network. Packets are classified to different connections based on the transport and network layer header information. Each connection is modeled using an abstract syntax for characterizing bidirectional interactions between endpoints of each connection and delays between the interactions. Application-level characteristics of the packet traffic are determined based on the modeled connections. Simulated traffic that models application-level traffic behavior in a real network may also be generated by simulating traffic connections based on the modeled connections.

Methods, systems, and computer program products for modeling and simulating application-level traffic characteristics in a network based on transport and network layer header information

A flow control system for packet transmission networks is centered in the user applications supplying data to the network. Changes in control are responsive to changes in the transmission parameters of the network, measured in the network and transmitted to the user application. The user application specifies desired ranges of Quality of Service parameters and, when the measured network parameters fall outside of the desired range, the user application modifies the transmission strategy to match the available transmission parameters. Measurements of network parameters are made over a pre-selected observation period to average the values of the transmission parameters.

User controlled adaptive flow control for packet networks

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Chapel Hill, NC, United States of America

Kevin Jeffay