Abstract: A method includes obtaining, by one or more processor, data related to a service level agreement for a service from a provider, wherein the service includes providing, to a client, network resources from a shared pool of network resources in a computing environment. The one or more processor utilizes the data to generate input parameters and these input parameters include target parameters for the service level agreement, penalty parameters for the service level agreement, and statistical process control parameters. The one or more processor analyzes the input parameters to model risk associated with probability of failure of the service from the provider in a given computing environment and generates and based on the risk model, allocating, by the one or more processor, a portion of the network resources.

Abstract: A method includes obtaining, by one or more processor, data related to a service level agreement for a service from a provider, wherein the service includes providing, to a client, network resources from a shared pool of network resources in a computing environment. The one or more processor utilizes the data to generate input parameters and these input parameters include target parameters for the service level agreement, penalty parameters for the service level agreement, and statistical process control parameters. The one or more processor analyzes the input parameters to model risk associated with probability of failure of the service from the provider in a given computing environment and generates and based on the risk model, allocating, by the one or more processor, a portion of the network resources.

Abstract: Statistical process control, performance distribution identification, and a simulation model based on, for example, Monte Carlo simulation, are used to calculate the risk of various service levels. A recommended service level is determined, the service level being one that is estimated to have an appropriate risk for both the outsourcing supplier and the customer.