Extensible, asynchronous, centralized analysis and optimization of server responses to client requests

摘要

An optimizer for messaging systems learns the purpose and context of each message and combines that information with knowledge of the specific client that will be rendering the response, such as a specific HTML browser. Any of a number of optimization factors can be applied, singly or in any combination. Messages are analyzed offline until a configurable threshold is reached, indicating that enough data has been sampled to develop a valid instruction set, to be applied to the responses that a server generates for a particular request. Responses are parsed into tokens and instructions for each type of token are compiled into instruction sets that are stored. These instructions sets continue to be iteratively improved as more data is collected, until the configurable sampling threshold is reached.