Abstract: A system is provided for instantiating cloud services for an application in real time to allow the application to run in a small footprint and only request additional services on demand. By using predictive algorithms to forecast which services a user may want to access and having the resources available for them when the service is required the system is able to also improve response time for these on-demand services. The software can use and request/reserve resources from different IaaS providers based on computing needs and costs and an appropriate balance between the two.

Abstract: Systems and methods are provided for intercepting computing requests and modifying the execution timing thereof based on thresholds and minimum performance criteria and/or adjusting hosted services plans in order to monitor and control costs of hosting software applications on hosted provider computing resources.

Abstract: Systems and methods are provided for intercepting computing requests and modifying the execution timing thereof based on thresholds and minimum performance criteria and/or adjusting hosted services plans in order to monitor and control costs of hosting software applications on hosted provider computing resources.

Abstract: A system and method are proposed that allows for predictive analysis to model Information Technology costs, such as hosting costs, in various scenarios, such as, reducing/expanding workforce, shutting locations, or adding locations. The system, in performing optimization functions, gathers data from various locations and providers and normalizes the data in data structures to allow for direct comparison of costs with calculated data needs, which allows for automatic optimization of the organization's Information Technology resources.

Abstract: Systems and methods for monitoring hosted computing resource usage wherein software receives usage information of a software application executing on at least one of a plurality of computing resources to determine anomalies in usage and the software accessing external sources to identifies a predicted future anomaly and modifies availability of computing resources for execution of the software application as a way to improve the outcome of data modelling by recognizing repeated anomalous patterns and allowing these to be factored in or out of the predictive modelling.

Abstract: Systems and methods are provided for intercepting computing requests and modifying the execution timing thereof based on thresholds and minimum performance criteria and/or adjusting hosted services plans in order to monitor and control costs of hosting software applications on hosted provider computing resources.