Abstract: Systems and methods of pre-launching applications in a computer system, said applications being likely to be activated by a user from a terminated and/or suspended process state, are disclosed. The pre-launching of an application may be based on the assessed probability of the application being activated—as well as the level of availability of system resources to affect such pre-launching. Applications may be pre-launched based on these and other conditions/considerations, designed to improve the user's experience of a quick launch of applications in the background. Several prediction models are presented to provide a good estimate of the likelihood of an application being activated by a user. Such prediction models may comprise an adaptive predictor (based on past application usage situations) and/or a switch rate predictor (based on historic data of an application being switched and, possibly, having a decay rate applied to such switch rate measure).

Abstract: Systems and methods of pre-fetching data for applications in a computer system that are terminated or suspended and may be pre-launched by the computer system are disclosed. The applications may employ data that is remote from the computer system and available from a third party content resource. A method for pre-fetching such remote data comprises associating a set of application with such data and/or its location; determining a set of pre-fetching conditions, determining which applications may be pre-fetched and pre-fetching the data, if pre-fetch conditions meet a desired pre-fetch policy. A predictive module or technique may be used to identify those applications which may be pre-launched. The present system may comprise a pre-fetch success module capable of measuring the success data for a current pre-fetch and associating such success data with an application to improve future pre-fetches.

Abstract: Systems and methods of pre-launching applications in a computer system, said applications being likely to be activated by a user from a terminated and/or suspended process state, are disclosed. The pre-launching of an application may be based on the assessed probability of the application being activated—as well as the level of availability of system resources to affect such pre-launching. Applications may be pre-launched based on these and other conditions/considerations, designed to improve the user's experience of a quick launch of applications in the background. Several prediction models are presented to provide a good estimate of the likelihood of an application being activated by a user. Such prediction models may comprise an adaptive predictor (based on past application usage situations) and/or a switch rate predictor (based on historic data of an application being switched and, possibly, having a decay rate applied to such switch rate measure).