| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d53dc4d2c99439c2a77f38af07e91524 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L41-16
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L67-02 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F7-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L67-16
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N5-01
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N99-005
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L67-51
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L41-5009
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04L29-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F7-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N99-00 |
| filingDate |
2018-06-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6241a88aefa78cdb4ba1ba1a3fc94145 |
| publicationDate |
2019-12-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2019394283-A1 |
| titleOfInvention |
Techniques for automatically interpreting metric values to evaluate the health of a computer-based service |
| abstract |
In various embodiments, a health evaluation application automatically monitors and evaluates the health of one or more computer-based services. The health evaluation application computes deviation values based on one or more machine-learned expected variations associated with multiple metrics. The metrics are associated with the computer-based service(s). The health evaluation application then performs classification operation(s) based on the deviation values and machine-learned classification criteria to compute anomaly indicators associated with a first service included in the one or more computer-based services. Subsequently, the health evaluation application computes a score that indicates the overall health of the first service based on the anomaly indicators. Advantageously, because the health evaluation application automatically computes the score, the time required to monitor and evaluate the health of the service is reduced compared to the time required to manually monitor and evaluate the health of the service. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11218381-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11095728-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11416369-B1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11088928-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11228507-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11240127-B1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2022108335-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113221441-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11201799-B2 |
| priorityDate |
2018-06-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |