Abstract: 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.

Abstract: A method for designating a class of data content for determining how the content will be handled by a content delivery network (CDN) into one of: a transport designation by which content is transported from an entrance node to one or more edge nodes; a caching designation by which the content is stored at one or more edge nodes; and a hybrid designation by which content is stored at a node in the CDN for subsequent transport to one or more edge nodes in the CDN, the method comprising: determining a set of one or more transport designation options; determining a set of one or more caching designation options; determining a set of one or more hybrid designation options; determining a normalised measure resource requirement for each of the transport, caching and hybrid designation options; and selecting one designation option for the class of content from all of the transport, caching and hybrid designation options by an optimisation function for selecting the designation option based on the determined normalise

Abstract: 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.

Abstract: An optimum configuration of resources in a network function virtualisation data network is identified by assembling candidate configurations of resources (243), each configuration being an arrangement of the resources into clusters selected such that each cluster provides one or more required services, (212, 213) and assessing the candidate configurations (step 400) to identify an optimum configuration, the assessment of each configuration including measurement of latency (195) in physical links between the resources and, for each candidate configuration, determination of the total latency between the resources within each cluster of the configuration, for a predicted level and pattern of traffic associated with the required service to be operated by each cluster.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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 prioritise 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.

Abstract: A method for allocating resources of a group of resources to tasks of a group of tasks, the method comprising: forming a resource set comprising a resource record for each of the resources of the group of resources, each resource record having one or more fields representative of attributes of the respective resource; forming a task set comprising a task record for each of the tasks of the group of resources, each task record having one or more fields, each field holding data representative of an attribute of the respective task; condensing the task set by one or more iterations of the steps of: i. selecting two or more tasks of the task set; ii. adding to the task set an aggregate task record having one or more fields, each such field corresponding to a field of each of the task records of the selected tasks and holding data representative of the collective attributes of the task records of the selected tasks in those fields; and iii.

Abstract: The invention relates to resource management, and describes a method and apparatus to be used in planning of resource deployment. In an embodiment of the invention, the number and characteristics of forecasted and/or unprocessed jobs falling within a time period such as a week, or a month, are compared to resource availability and status for that time period, in terms of attributes such as location, skills and time. A cost—in terms of jobs that cannot be carried out, given current resource availability and status—is evaluated. Preferably the attributes are stored as resource records, so that there is one resource record per resource, and the attributes of at least some of the resource records are modified using a heuristic search means or similar. The resource records are modified until a minimum cost is identified, and these resource records can then be used to formulate successive capacity plans, which can be input to a scheduling system.