Soasta, Inc.

Akamai Technologies, Inc.

Philip Santosh Tellis

Tal Broda

Michael Hemmert

Matthew Solnit

Kenneth C Gardner

Vernon Archie Brewer, Iii

A computer-implemented method for creating a visualization of beacons collected over a specified time period from users on a website. Beacons are rendered as nodes grouped into clusters, with relatedness between beacons being represented as a link. The number of nodes rendered is reduced along with the number of links that connect pairs of nodes. The resulting data structure is rendered as a force-directed chart by assigning force unit values to each of the nodes and links, each representative node of a cluster of nodes being assigned a relatively high negative charge and all remaining nodes in the cluster being assigned a relatively low negative charge. Link distances and strengths between unrelated/related clusters are also assigned values. A set of physical laws is applied to all of the nodes and links to determine their relative position in the visualization based on their assigned force unit values.

System and method for visualization of beacon clusters on the web

Display screen with animated graphical user interface

A method for real-time capture and analysis of website performance metrics includes receiving, in each of a plurality of result servers, data values transmitted from a plurality of client devices, each data value representing a measurement of a performance metric associated with an experience of a user on a web page or using a web application, the measurement being made and the data value produced being transmitted in real-time while the user is on the web page or using the web application. For each data value received, a count in one of a set of N data buckets defined in a memory is incremented. All of the counts in each of the corresponding data buckets is aggregated to produce a histogram of the performance metric is rendered on an analytic dashboard.

Fast OLAP for real user measurement of website performance

A method for real-time capture of actual user experiences on a website, web application or mobile app includes receiving, in first servers, one or more beacons, each containing data items. Each beacon is generated in real-time from a user session. The data items are aggregated in one or more first sets of N data buckets associated with each of the first servers. Each of the first servers transmits the data items of each of the N data buckets to a second server over a network, which further aggregates the data items received in one or more sets of N data buckets corresponding to and identically configured as the data buckets of the first servers. The corresponding data contents of the one or more second sets of N data buckets is aggregated into one or more final sets of N data buckets used in generating a real-time analytic dashboard.

Real-time analytics of web performance using actual user measurements

Growing community of inventors

Cambridge, MA, United States of America

Philip Santosh Tellis