Abstract: A computer implemented method of scheduling a plurality of virtual machines for execution by a physical computing infrastructure is described. The plurality of virtual machines are deployable to a subset of the physical computing infrastructure to execute a computing task. The method includes determining a subset of the infrastructure and a time period for deployment of each virtual machine, so that the virtual machines are scheduled to execute to completion over an aggregate of all time periods. The determination is based on a mathematical optimization of a risk function for each of the plurality virtual machines that corresponds to a relative risk that at least one virtual machine will fail to fully execute its task to completion.

Abstract: A computer implemented method of scheduling a plurality of virtual machines for execution by a physical computing infrastructure, each virtual machine being deployable to a subset of the physical computing infrastructure to execute a computing task, the method including determining, for each virtual machine, a subset of the infrastructure and a time period for deployment of the virtual machine, so as to schedule the virtual machines to execute to completion over an aggregate of all time periods, wherein the determination is based on a mathematical optimization of a risk function for each of the plurality virtual machines corresponding to a relative risk that at least one virtual machine will fail to fully execute its task to completion.

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: 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.