British Telecommunications Public Limited Company

British Telecommunications Corporation

Khalifa University

Emirates Telecommunications Corporation

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Gilbert Kwame Owusu

Sid Shakya

Kin Poon

Beum Seuk Lee

Dymitr Ruta

Siddhartha Shakya

Hani Hagras

Gilbert Owusu

Alistair McCormick

Anne Liret

Jonathan Malpass

Ahmed Mohamed

Seuk Beum Lee

As data processing requirements of individual client systems A to K change over time, they are allocated service from physical datacentres X, Y, Z according to the existing capabilities of the data centres requirements of the client systems, thus transferring client systems between cells controlled by individual data centres. This avoids the complex process of adapting the individual physical datacentres' capabilities to the changing requirements of the client systems to which they were originally allocated: thus the capabilities, and not the mappings, are maintained and the mappings, not the capabilities, are dynamic, so as to optimise the allocation of client systems to cells. It also minimises the number of clients having to work to more than one datacentre, which leads to delays in processing as the datacentres need to communicate with each other. Configuration of the datacentres X, Y, Z themselves is required to set up the system, but subsequently only if a re-optimization of the existing mappings cannot satisfy the changed demand profiles, for example because the overall balance of services available from the datacentres no longer matches the services required.

Resource allocation

This invention relates to methods and systems for monitoring mobile service quality in a mobile network and also for determining parts of a mobile network which need expansion or upgrade. Embodiments of the invention monitor the market impact and/or service quality, and determine an expansion ranking. The market impact, service quality and/or expansion ranking may view the network from a plurality of perspectives, including a location perspective, an historical time perspective, a future time perspective and/or a network element type perspective. The results of the monitoring and determining can be acted on by predetermined rules and/or actions to derive a list of prioritized expansion tasks for the network.

Methods and systems for monitoring mobile networks

Information received from disparate individual monitors that are concurrently measuring a predetermined property of a predetermined resource in a network are compared in a reliability computation engine to compute a metric of the degree of similarity between their measurements, and thus to determine a measure of the reliability of one or more of the individual monitors. This information can be used by a provisioning engine to select or reject individual resources for use in meeting service requirements on the basis of the reliability of the reports of their performance, as well as the reported performance itself. Monitors identified as unreliable can also be reported to a fault diagnosis function.

Evaluation of network conditions

The present invention provides a method which can be used to optimise the delivery of series over communications networks. Tasks which need to executed within a short timescale and those which are not due to be executed for a long time are excluded from the optimisation process. A score is determined, using fuzzy logic, for each task and its related resources and for each resource and its related tasks. This score is then used to determined which tasks should be optimised.

Scheduling tasks to resources for a network using fuzzy logic

In response to requests for their use of the resources by the applications, resources are first allocated to 'inelastic' requests specified for performance at a specific time slot. A baseline allocation of resources is then determined which is the minimum amount of capacity that has to be used for efficient operation of the resources required to meet the requests. This baseline will include some additional capacity as the minimum efficient capacity is less than the maximum capacity. 'Elastic' requests, specified for performance within a predetermined time range comprising two or more of the set of time slots, are then allocated so as to prioritize the use of this spare capacity, bringing actual usage up to at least the baseline allocation of resources. If further capacity is required to meet all the inelastic requests, further capacity is allocated and the baseline redefined to include it.

Networked resource provisioning system

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London, United Kingdom

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