Abstract: This invention relates to methods and systems for workload distribution, particularly in data centers, more particularly data centers which use fresh air cooling. Embodiments of the invention provide methods and systems which calculate a load value for each server which takes account of both the temperature of the server and its current job queue, and determine the server to which an incoming job should be allocated on the basis of the load values of the available servers.

Abstract: This invention relates to methods and systems for limiting consumption, particularly power consumption, more particularly by appliances in a building, and is generally suitable for integration with building management systems. Embodiments of the invention provide arrangements in which the aggregated power load of a plurality of appliances is capped to a selected value (which may be arbitrary, or may be dictated by conditions) while seeking to minimize the deviation from target environmental conditions within the building through a combination of distributed decision making by the appliances themselves and centralized orchestration, which may be informed by real-time sensor readings and/or known properties of the building. The distributed decision-making by individual devices may be based on projected deviation from the target conditions after a period of activity or inactivity but with a central controller which determines which devices should be switched on.

Abstract: This invention relates to methods and systems for controlling consumption, particularly power consumption, more particularly by appliances in a building, and is generally suitable for integration with building management systems. Embodiments of the invention provide methods and systems which probabilistically limit the aggregated power load of a plurality of climate control appliances in a building to a selected value, while seeking to minimize the deviation from target environmental conditions within the building. The embodiments of the invention propose distributed decision-making by individual devices based on projected deviation from the target conditions after a period of activity or inactivity.

Abstract: This invention relates to methods and systems for workload distribution, particularly in data centers, more particularly data centers which use fresh air cooling. Embodiments of the invention provide methods and systems which calculate a load value for each server which takes account of both the temperature of the server and its current job queue, and determine the server to which an incoming job should be allocated on the basis of the load values of the available servers.

Abstract: This invention relates to assignment of mobile clients (such as mobile telephones or software agents) to mainly stationary servers (such as mobile network base stations or computer servers) with the objective of reducing or minimizing the number of active servers. Once the number of users of a server drops below a specified level, the server may be deactivated resulting in power and efficiency savings. Preferably the method of the invention operates dynamically and during run time. In certain embodiments, the method can accept trade-offs in the quality of service or the number of active servers. In an embodiment of the invention, servers are arranged to “compete” with adjacent servers for their clients. This competition may be in a self-amplifying manner such that with the effect that more “popular” servers are more likely to succeed thus resulting in servers which are below a utilization threshold and can therefore be switched off.

Abstract: This invention relates to methods and systems for limiting consumption, particularly power consumption, more particularly by appliances in a building, and is generally suitable for integration with building management systems. Embodiments of the invention provide arrangements in which the aggregated power load of a plurality of appliances is capped to a selected value (which may be arbitrary, or may be dictated by conditions) whilst seeking to minimize the deviation from target environmental conditions within the building through a combination of distributed decision making by the appliances themselves and centralized orchestration, which may be informed by real-time sensor readings and/or known properties of the building. The distributed decision-making by individual devices may be based on projected deviation from the target conditions after a period of activity or inactivity but with a central controller which determines which devices should be switched on.

Abstract: This invention relates to methods and systems for controlling consumption, particularly power consumption, more particularly by appliances in a building, and is generally suitable for integration with building management systems. Embodiments of the invention provide methods and systems which probabilistically limit the aggregated power load of a plurality of climate control appliances in a building to a selected value, whilst seeking to minimize the deviation from target environmental conditions within the building. The embodiments of the invention propose distributed decision-making by individual devices based on projected deviation from the target conditions after a period of activity or inactivity.

Abstract: This invention relates to assignment of mobile clients (such as mobile telephones or software agents) to mainly stationary servers (such as mobile network base stations or computer servers) with the objective of reducing or minimizing the number of active servers. Once the number of users of a server drops below a specified level, the server may be deactivated resulting in power and efficiency savings. Preferably the method of the invention operates dynamically and during run time. In certain embodiments, the method can accept trade-offs in the quality of service or the number of active servers. In an embodiment of the invention, servers are arranged to “compete” with adjacent servers for their clients. This competition may be in a self-amplifying manner such that with the effect that more “popular” servers are more likely to succeed thus resulting in servers which are below a utilization threshold and can therefore be switched off.