Execution allocation cost assessment for computing systems and environments including elastic computing systems and environments

摘要

Techniques for allocating individually executable portions of executable code for execution in an Elastic computing environment are disclosed. In an Elastic computing environment, scalable and dynamic external computing resources can be used in order to effectively extend the computing capabilities beyond that which can be provided by internal computing resources of a computing system or environment. Machine learning can be used to automatically determine whether to allocate each individual portion of executable code (e.g., a Weblet) for execution to either internal computing resources of a computing system (e.g., a computing device) or external resources of an dynamically scalable computing resource (e.g., a Cloud). By way of example, status and preference data can be used to train a supervised learning mechanism to allow a computing device to automatically allocate executable code to internal and external computing resources of an Elastic computing environment.

主权项

1. A system, comprising:
at least one processor; and a non-transitory processor-readable memory device storing instructions that when executed by said at least one processor causes said at least one processor to perform operations including:
generating a customized cost model for an electronic device based on one or more cost preferences corresponding to said electronic device; andbased on said customized cost model, reducing a power consumption cost associated with execution of computer executable code on said electronic device by generating a decision relating to allocation of one or more individual executable components of said computer executable code between said electronic device and one or more cloud computing resources for execution.