International Business Machines Corporation

Microsoft Technology Licensing, LLC

At&t Intellectual Property I, LP

Hongbo Jiang

Arun Kwangil Iyengar

Charles P Wright

Erich Miles Nahum

Asser Nasreldin Tantawi

Wolfgang Segmuller

Baining Guo

Jia Wang

Zihui Ge

Xin Tong

Gang Chen

Bruno C Silva

Chen Li

Yaohua Hu

Shudong Jin

Andrew W Moore

Alex Pfaffe

Techniques are disclosed for load balancing in networks such as those networks handling telephony applications. By way of example, such techniques direct requests associated with calls to servers in a system comprised of a network routing calls between a plurality of callers and at least one receiver wherein a load balancer sends requests associated with calls to a plurality of servers as follows. A request associated with a call, a caller, or a receiver is received, depending on the particular load balancing technique. A server is selected to receive the request. A subsequent request is received. A determination is made whether or not the subsequent request is associated with the call, the caller, or the receiver, depending on the particular load balancing technique. The subsequent request is sent to the server based on determining that the subsequent request is associated with the call, the caller, or the receiver, again depending on the particular load balancing technique.

Method and apparatus for load balancing in network based telephony application

Techniques are disclosed for load balancing in networks such as those networks handling telephony applications. By way of example, a method for directing requests associated with calls to servers in a system comprised of a network routing calls between a plurality of nodes wherein a node participates in a call as a caller or a receiver and wherein a load balancer sends requests associated with calls to a plurality of servers comprises the following steps. A request associated with a node belonging to a group including a plurality of nodes is received. A server is selected to receive the request. A subsequent request is received. A determination is made whether or not the subsequent request is associated with a node belonging to the group. The subsequent request is sent to the server based on determining that the subsequent request is associated with a node belonging to the group.

Load balancing in network based telephony applications

In a computer system comprising a plurality of computing devices wherein the plurality of computing devices processes a plurality of tasks and each task has a task type, a method for determining overheads associated with task types comprises the following steps. Overheads are estimated for a plurality of task types. One of the plurality of computing devices is selected to execute one of the plurality of tasks, wherein the selection comprises estimating load on at least a portion of the plurality of computing devices from tasks assigned to at least a portion of the plurality of computing devices and the estimates of overheads of the plurality of task types. One or more of the estimates of overheads of the plurality of task types are varied.

Method and apparatus for determining resources consumed by tasks

Managing network traffic to improve availability of network services by classifying network traffic flows using flow-level statistical information and machine learning estimation, based on a measurement of at least one of relevance and goodness of network features. Also, determining a network traffic profile representing applications associated with the classified network traffic flows, and managing network traffic using the network traffic profile. The flow-level statistical information includes packet-trace information and is available from at least one of Cisco NetFlow, NetStream or cflowd records. The classification of network flows includes tagging packet-trace flow record data based on defined packet content information. The classifying of network flows can result in the identification of a plurality of clusters based on the measurement of the relevance of the network features. Also, the classification of network traffic can use a correlation-based measure to determine the goodness of the network features.

Managing network traffic for improved availability of network services

Systems and methods are presented for real-time realistic river modeling. In one implementation, when provided with the physical features of a modeled terrain, the systems and methods described herein automatically determine a watercourse route in relation to the terrain and calculate river borders. The systems and methods then calculate a surface structure for the river between the borders and map texture coordinates to the surface structure. The systems and methods apply textures at the texture coordinates to provide an animated, view-dependent representation of wave geometries for the modeled water surface including reflection, refraction, and Fresnel effects.

River modeling

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Cleveland, OH, United States of America

Hongbo Jiang