Abstract: A data centre utilisation forecasting system (200), comprises a behavioural profiler (210) configured to determine a plurality of data centre virtual behaviour patterns from data centre utilisation information and a data centre utilisation predictor (220) configured to calculate at least one data centre utilisation metric based on the determined data centre virtual behaviour patterns, data centre policy information and/or infrastructure data representing hardware and/or software components of a data centre. Accordingly, a utilisation forecast is provided that takes into account not only the physical infrastructure of the data centre, but also virtual behaviour patterns.

Abstract: A method of controlling a datacenter (1), for example a cloud datacenter, and a computer management system (3) for managing a datacenter comprising a plurality of servers (2) configured to execute a plurality of jobs is provided. The method comprises receiving a request to execute a job from a user (4), determining an allocated server (2) on which to execute the job, and executing the job on the allocated server (2). The determining the allocated server (2) on which to execute the job comprises: classifying the job according to its resource requirement, selecting a subset of the servers (2) that fulfill the resource requirements of the job, determining the allocated server (2) that can execute the job with a favorable energy efficiency, wherein a total resource estimate for all jobs running on the server (2) from time to time exceeds the resources of at least one of the servers (2).

Abstract: A method of controlling a datacentre (1), for example a cloud datacentre, and a computer management system (3) for managing a datacentre comprising a plurality of servers (2) configured to execute a plurality of jobs is provided. The method comprises receiving a request to execute a job from a user (4), determining an allocated server (2) on which to execute the job, and executing the job on the allocated server (2). The determining the allocated server (2) on which to execute the job comprises: classifying the job according to its resource requirement, selecting a subset of the servers (2) that fulfil the resource requirements of the job, determining the allocated server (2) that can execute the job with a favourable energy efficiency, wherein a total resource estimate for all jobs running on the server (2) from time to time exceeds the resources of at least one of the servers (2).