Methods and systems for enhanced fault detection of a component of a computing node through peer-based assessments

A system for enhanced fault detection of a component of a computing node, the system comprising:

• a computing node configured to execute a component health assessment of a plurality of components of a target computing node based on identifying the target computing node as having an unhealthy state of health, wherein executing the component health assessment of the plurality of components includes:
• identifying a healthy computing node having a healthy state of health;
• establishing a plurality of distinct pairs of components, each distinct pair of components of the plurality of distinct pairs of components includes one component of the target computing node and one component of the healthy computing node;
• and
• executing bi-directional testing by each of the plurality of distinct pairs of components;
• wherein the health assessment executed by the computing node further comprises:
• evaluating health assessment data generated based on the execution of the bi-directional testing, wherein evaluating the health assessment data includes:
• identifying a subset of pairs of components of the plurality of distinct pairs of components that fail to satisfy one or more performance benchmarks;
• and identifying within the subset of pairs of components, the one or more components of the target computing node appearing in more than one pair of components of the subset of pairs of components;
• and
• and fault characterization, which classifies one or more components of the plurality of components of the target computing node based on the evaluation of the health assessment data, wherein the classification of faulty is based at least on the one or more components of the target computing node appearing in the more than one pair of components of the subset of pairs of components.

A computer-program product comprising a non-transitory machine-readable storage medium storing computer instructions that, when executed by one or more processors, perform operations comprising:

• executing a component health assessment of a plurality of components of a target computing node based on identifying the target computing node as having an unhealthy state of health, wherein executing the component health assessment of the plurality of components includes:
• identifying a healthy computing node having a healthy state of health;
• establishing a plurality of distinct pairs of components, each distinct pair of components of the plurality of distinct pairs of components includes one component of the target computing node and one component of the healthy computing node;
• and
• executing bi-directional testing by each of the plurality of distinct pairs of components;
• evaluating health assessment data generated based on the execution of the bi-directional testing, wherein evaluating the health assessment data includes:
• identifying a subset of pairs of components of the plurality of distinct pairs of components that fail to satisfy one or more performance benchmarks;
• and
• identifying within the subset of pairs of components, the one or more components of the target computing node appearing in more than one pair of components of the subset of pairs of components;
• and
• classifying as faulty one or more components of the plurality of components of the target computing node based on the evaluation of the health assessment data, wherein the classification of faulty is based at least on the one or more components of the target computing node appearing in the more than one pair of components of the subset of pairs of components.

A method for enhanced fault detection of a component of a computing node, the method comprising:

• executing a component health assessment of a plurality of components of a target computing node based on identifying the target computing node as having an unhealthy state of health, wherein executing the component health assessment of the plurality of components includes:
• identifying a healthy computing node having a healthy state of health;
• establishing a plurality of distinct pairs of components, each distinct pair of components of the plurality of distinct pairs of components includes one component of the target computing node and one component of the healthy computing node, wherein establishing the plurality of distinct pairs of components includes computing a Cartesian product between a set of components of the target computing node and a set of components of the healthy computing node;
• and
• executing bi-directional testing by each of the plurality of distinct pairs of components;
• evaluating health assessment data generated based on the execution of the bi-directional testing;
• and
• classifying as faulty one or more components of the plurality of components of the target computing node based on the evaluation of the health assessment data.