Telcordia Technologies, Inc.

Walter D Sincoskie

Ricardo Martija

Samaradasa Weerahandi

Methods and systems are provided for determining inter-region and intra-region traffic in one or more networks. To determine the network traffic flowing between a first region and a second region, one or more routers in the first and second regions are identified along with their respective links connecting the routers in the first region to those in second region. A processor located remotely from the routers in the first and second regions then determines discrete used bandwidth samples of the identified links over a period of time. Based on the used bandwidth samples, the processor determines the network traffic flowing between the first and second regions. To determine the network traffic within a region, a sample of hosts each including one or more web servers in the region are selected. The processor identifies the last pairs of identifiable routers on respective routes from the processor to the sample hosts and the respective links connecting the identified last pairs of routers. The processor then determines discrete used bandwidth samples of the identified respective links. Based on the used bandwidth samples, the processor determines the network traffic within the region.

Method and system for remote measurement of network traffic

Methods and systems are provided for determining the geographical regions of hosts in a network. A plurality of sample hosts in the network are preselected. The sample hosts are preselected such that they are located in a plurality of geographical regions that are determinable using existing methods and systems or other means. A plurality of monitoring stations are provided in the network to determine first sets of information associated with each of the sample hosts and second sets of information associated with a host whose geographical region is to be determined. The geographical region of the host is then determined to be the same as the geographical region of those sample hosts whose respective mean of first sets of information has the shortest weighted vector (or euclidian) distance from the second sets of information.

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Hampton, NJ, United States of America

Walter D Sincoskie