| CPC G06F 16/93 (2019.01) [G06F 9/5077 (2013.01)] | 20 Claims |
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1. An apparatus for controlled adaptation for real-time dynamic performance enhancement, comprising:
a document processing system programmed with document services and having a system memory, a data storage, one or more processor units, and a network interface;
the network interface coupled for receiving user requests for the document services;
a machine learning model configured with a plurality of nodes and edges therebetween for communication of information;
the machine learning model configured to allow each of the plurality of nodes to communicate with any other one or more of the plurality of nodes during operation;
a data process usage node of the plurality of nodes configured to evaluate compression and decompression latency among a plurality of algorithms therefor for the document services responsive to first states from the plurality of nodes;
a processor usage node of the plurality of nodes configured to evaluate processor unit usage of the one or more processor units responsive to second states from the plurality of nodes;
a storage usage node of the plurality of nodes configured to evaluate storage usage of the data storage responsive to third states from the plurality of nodes;
a memory usage node of the plurality of nodes configured to evaluate latency response of the system memory responsive to fourth states from the plurality of nodes; and
the machine learning model configured as a combination of regression models and a distributed gradient-boosting framework to interactively process the first, second, third, and fourth states for regressions and gradient-boosted decisions to analyze user requested data associated with the user requests to reduce the latency response of the system memory for the controlled adaptation for the real-time dynamic performance enhancement of the document services in the document processing system.
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