Abstract: A controller is provided for a Cloud based service handling multiple types of traffic in a telecommunications network, the controller comprising: a first stage configured to automatically model use of Cloud resources allocated to the service for specific workloads of each of a plurality of traffic types, so as provide a variety of models for each traffic type; a second stage configured to automatically reduce the number of and generalise the models so as to provide generalised models for each traffic type applicable to other workloads than the specific loadings; a third stage configured to automatically evaluate accuracy of the generalised models for various combinations of given workloads, in each combination each of the given workloads being of a corresponding traffic type, and to select one of the generalised models dependent upon evaluated accuracy; and a fourth stage configured to control operation of the Cloud resources according to the selected model.

Abstract: A configuration method, equipment, system and computer readable medium for determining a new configuration of calculation resources associated to a function and to at least one future time slot, the calculation resources being defined as different calculation capacities allocated to the function during a time slot and included within at least one computer, the configuration method comprising a first step of determining an old demand, a second step of determining a plurality of conditional probabilities associated to the old demand and to a plurality of new demands, a third step of determining a plurality of reconfiguration costs associated to a plurality available configurations, a step of selecting the new configuration as being the available configuration associated to the minimal reconfiguration cost.

Abstract: A method of determining a set of virtual machine instances in a virtualized system to be scaled in response to a variation in workload of a service or application component, the method comprising generating respective sets of aggregated metrics for respective ones of multiple virtual machines, generating a directed graph in which nodes representing a resource of one or more of the multiple virtual machines are linked using one or more edges, the weight of each of the edges representing a time-lagged partial correlation value and a time lag value representing a measure of when to scale one resource relative to another, determining the set of virtual machine instances to be scaled by removing edges of the directed graph whose weight falls below a threshold measure and removing nodes whose incident edges have been removed, and scaling the weight of remaining edges of the directed graph relative to a selected node of the graph.

Abstract: A controller is provided for a Cloud based service handling multiple types of traffic in a telecommunications network, the controller comprising: a first stage configured to automatically model use of Cloud resources allocated to the service for specific workloads of each of a plurality of traffic types, so as provide a variety of models for each traffic type; a second stage configured to automatically reduce the number of and generalise the models so as to provide generalised models for each traffic type applicable to other workloads than the specific loadings; a third stage configured to automatically evaluate accuracy of the generalised models for various combinations of given workloads, in each combination each of the given workloads being of a corresponding traffic type, and to select one of the generalised models dependent upon evaluated accuracy; and a fourth stage configured to control operation of the Cloud resources according to the selected model.

Abstract: A method, in a virtualized system, for balancing a load across multiple virtual machines instantiated over physical hardware of the system, including vertically scaling the capacity of respective ones of the VMs up to a physical capacity limit, LPHY, from an initially allocated physical capacity, LVIRT, by providing access to additional resources of the physical hardware in response to an increased load causing the or each VM to reach or exceed a threshold capacity LT1, and horizontally scaling the capacity of the system by supplementing the multiple VMs with an additional VM instantiated using a hypervisor of the system when a predefined proportion, U1, of the VMs have a capacity LPHY.

Abstract: A configuration method, equipment, system and computer readable medium for determining a new configuration of calculation retraffic sources associated to a function and to at least one future time slot, the calculation resources being defined as different calculation capacities allocated to the function during a time slot and included within at least one computer, the configuration method comprising a first step of determining an old demand, a second step of determining a plurality of conditional probabilities associated to the old demand and to a plurality of new demands, a third step of determining a plurality of reconfiguration costs associated to a plurality available configurations, a step of selecting the new configuration as being the available configuration associated to the minimal reconfiguration cost.

Abstract: A method, in a virtualised system, for balancing a load across multiple virtual machines instantiated over physical hardware of the system, including vertically scaling the capacity of respective ones of the VMs up to a physical capacity limit, LPHY, from an initially allocated physical capacity, LVIRT, by providing access to additional resources of the physical hardware in response to an increased load causing the or each VM to reach or exceed a threshold capacity LT1, and horizontally scaling the capacity of the system by supplementing the multiple VMs with an additional VM instantiated using a hypervisor of the system when a predefined proportion, U1, of the VMs have a capacity LPHY.