British Telecommunications Public Limited Company

Botond Virginas

Stephen A Cassidy

David M Rohlfing

Kjeld Jensen

Phil Bull

Phillip Bull

This invention provides a computer-implemented method of modifying an algorithm operating on a computing system, and a device for implementing said method, the method comprising the steps of: applying the algorithm to a first set of inputs; determining a relevance score for a first input of the first set of inputs based on: a first effectiveness value of the first input, wherein the first effectiveness value represents a contribution of first input to the algorithm, and a first computational cost of the first input, wherein the 1 first computational cost represents the computational resources of using the first input in the algorithm; defining a second set of inputs based on the determined relevance score of the first input; and applying the algorithm to the second set of inputs.

Computer-implemented method of modifying an algorithm operating on a computing system

This disclosure relates to a computer-implemented method of controlling an algorithm, and a device for implementing said method, the method including developing the algorithm from a first state to a second state by a machine learning process; determining a second computational cost of executing the algorithm in its second state; determining if the second computational cost satisfies a trigger condition; and, if so, consolidating the algorithm from the second state to a third state, wherein a third computational cost of executing the algorithm in its third state is less than the second computational cost.

Algorithm consolidation

This invention provides an autonomic method for controlling an algorithm on a multi-terminal computing system, wherein the algorithm is configured to analyse diagnostic data for each terminal and an outcome of the analysis is a first action or a second action, and a device for implementing the method, the method comprising the steps of: receiving a first set of data for the multi-terminal computing system; applying the algorithm to the first set of data to classify each terminal in the multi-terminal computing system as being associated with either a first action or second action; re-classifying a first subset of terminals classified as being associated with the first action as being associated with the second action; and applying the first actions, second actions, and reclassified second actions respectively to each terminal in the multi-terminal computing system.

Autonomic method for managing a computing system

The operation of base stations in a wireless network whose areas of coverage do not overlap are synchronized by taking timing values from mobile units that travel from one area of coverage to another. A base station receiving a timing value from a mobile unit entering its area of coverage adapts its timing value and that of any mobile units in its coverage area, including the newly-arrived mobile unit, to a become a value intermediate between its existing timing value and that indicated by the mobile unit. The use of an intermediate value instability in the system that might result from an inability of the base stations to communicate directly with each other in real time.

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London, United Kingdom

Botond Virginas