Cloud service optimization for cost, performance and configuration

A non-transitory machine-readable storage medium, having encoded thereon program code, wherein, when the program code is executed by a machine, the machine implements a method of managing a cloud computing system of a user with cloud services provided by a plurality of cloud service providers the method comprising:

• collecting cloud service data from sensors within each cloud service by a corresponding cloud service provider;
• developing one or more system models based on the collected cloud service data;
• receiving user configuration data for the cloud computing system, the configuration data related to performance and cost objectives of the user;
• generating performance and cost predictions for the cloud computing system based on the one or more system models and the user configuration data;
• processing the performance and cost predictions to provide a set of attributes and parameters for the cloud computing system;
• and
• presenting the set of attributes and parameters for the cloud computing system to the user for selection,
• wherein, based on the set of attributes and parameters, the cloud computing system operates by employing selected attributes and parameters within a set of differing cloud service providers.

A prediction system for modeling the performance of a network-based computing system, the network-based computing system comprising one or more network nodes and receiving cloud services provided by a plurality of cloud service providers, the prediction system comprising:

• a processor coupled to a network comprising the one or more network nodes and adapted to receive configuration data from a user for the cloud computing system, the configuration data related to performance and cost objectives of the user, through an input/output (I/O) interface;
• and
• one or more sensors configured to collect cloud service data from each cloud service of a corresponding cloud service provider,
• wherein the processor is configured to:
• (i) develop one or more system models based on the collected cloud service data,
• (ii) generate performance and cost predictions for the cloud computing system based on the one or more system models and the user configuration data,
• (iii) process the performance and cost predictions to provide a set of attributes and parameters for the cloud computing system, and
• (iv) present the set of attributes and parameters for the cloud computing system to the user for selection, and
• wherein, based on the set of attributes and parameters, the network-based computing system operates with selected attributes and parameters within a set of differing cloud service providers.