Resource cache classification using machine learning

A tangible, non-transitory, computer-readable medium storing program instructions that cause a computer to execute a process comprising:

• determining a plurality of resources loaded during rendering of a web page on a client device;
• determining a duration of time taken for each of the plurality of resources to fully load;
• clustering the plurality of resources into clusters, comprising:
• a first cluster consisting of resources having the shortest durations of the plurality of resources;
• and
• a second cluster consisting of resources having the longest durations of the plurality of resources;
• classifying those resources of the first cluster as cached resources;
• and
• classifying those resources of the second cluster as non-cached resources.

An apparatus, comprising:

• one or more network interfaces configured to communicate in a computer network;
• a processor coupled to the network interfaces and adapted to execute one or more processes;
• and
• a memory configured to store a process executable by the processor, the process when executed operable to:
• determine a plurality of resources loaded during rendering of a web page on a client device;
• determine a duration of time taken for each of the plurality of resources to fully load;
• cluster the plurality of resources into clusters, comprising:
• a first cluster consisting of resources having the shortest durations of the plurality of resources;
• and
• a second cluster consisting of resources having the longest durations of the plurality of resources;
• classify those resources of the first cluster as cached resources;
• and
• classify those resources of the second cluster as non-cached resources.