Methods and systems for caching data using behavioral event correlations
View Patent ↗A method is disclosed including a client accessing a cache for a value of an object based on an object identification (ID), initiating a request to a cache loader if the cache does not include a value for the object, the cache loader performing a lookup in an object table for the object ID corresponding to the object, the cache loader retrieving a vector of execution context IDs, from an execution context table that correspond to the object IDs looked up in the object table and the cache loader performing an execution context lookup in an execution context table for every retrieved execution context ID in the vector to retrieve object IDs from an object vector.
1. A method for populating a cache, the method comprising:
receiving, at the cache, a request for a value of an object based on an object identification (ID);
performing an execution context lookup in an execution context table for each execution context ID associated with the object ID, wherein each execution context ID is associated with object IDs in one or more execution context vectors, and wherein each execution context ID uniquely identifies an execution context for accessing an existing object;
retrieving a set of related object IDs from one or more object vectors;
utilizing metadata stored in the execution context vectors and object vectors to generate correlation scores between the object whose value was requested and a plurality of related objects from the set of related object IDs; and
selecting one or more of the related objects to store in the cache based on the generated correlation scores.
2. The method of claim 1 , wherein selecting the one or more of the related objects to store in the cache selects objects with the highest correlation scores.
3. The method of claim 1 , further comprising:
retrieving the selected one or more related objects from a backing store and pre-loading them into the cache.
4. The method of claim 3 , wherein the metadata includes a time required to load the object from the backing store, a time since a previous request for the object, or a data size of object.
5. The method of claim 1 , wherein generating the correlation scores uses a vector cosine or Pearson's R scoring algorithm.
6. A system comprising:
a cache to receive access requests from a client to retrieve a value of an object based on an object identification (ID); and
a cache loader to:
perform an execution context lookup in an execution context table for each execution context ID associated with the object ID, wherein each execution context ID is associated with object IDs in one or more execution context vectors;
retrieve a set of related object IDs from one or more object vectors;
utilize metadata stored in the execution context vectors and object vectors to generate correlation scores between the object whose value was requested and a plurality of related objects from the set of related object IDs; and
select one or more of the related objects to store in the cache based on the generated correlation scores.
7. The system of claim 6 , wherein the one or more of the related objects to store in the cache are selected based on the highest correlation scores.
8. The system of claim 6 , wherein the cache loader retrieves the selected one or more related objects from a backing store and pre-loads them into the cache.
9. The system of claim 8 , wherein the metadata includes a time required to load the object from the backing store, a time since a previous request for the object, or a data size of object.
10. The system of claim 6 , wherein generating the correlation scores uses a vector cosine or Pearson's R scoring algorithm.
11. The system of claim 6 , wherein each execution context ID uniquely identifies an execution context for accessing an existing object.