Generating upgrade recommendations for modifying heterogeneous elements of information technology infrastructure
US-9940125-B1 · Apr 10, 2018 · US
US10416982B1 · US · B1
| Field | Value |
|---|---|
| Publication number | US-10416982-B1 |
| Application number | US-201615199169-A |
| Country | US |
| Kind code | B1 |
| Filing date | Jun 30, 2016 |
| Priority date | Jun 30, 2016 |
| Publication date | Sep 17, 2019 |
| Grant date | Sep 17, 2019 |
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A method, computer program product, and computing system for receiving telemetry data from a remote storage system. The telemetry data is analyzed to assign a system health score to the remote storage system.
Opening claim text (preview).
What is claimed is: 1. A computer-implemented method, executed on a computing system, comprising: receiving telemetry data from a remote storage system; analyzing the telemetry data to assign a system health score to the remote storage system, wherein assigning a system health score to the remote storage system includes assigning a default health score and deducting from the assigned default health score based upon, at least in part, one or more issues identified within the remote storage system; providing one or more solutions to the remote storage system based, at least in part, upon the assigned system health score, wherein providing the one or more solutions includes installing one or more firmware upgrades on the remote storage system and providing one or more incentives to the administrator of the remote storage system, wherein each of installing the one or more firmware upgrades on the remote storage system and receiving an acceptance of the one or more incentives provided to the administrator increases the system health score assigned to the remote storage system; and comparing the system health score assigned to the remote storage system to other system health scores assigned to other remote storage systems, wherein comparing the system health score assigned to the remote storage system to other system health scores assigned to other remote storage systems includes utilizing data modeling to determine trends and predict future health scores, wherein determining trends include at least one of: a) determining regions or countries more prone to certain types of failures than other regions or countries b) determining times of year more prone to failure than other times of year, and c) determining an increased rate of total failure based on a combination of bad SMART data and bandwidth above a certain threshold for a certain period of time. 2. The computer-implemented method of claim 1 further comprising: gathering the telemetry data on the remote storage system. 3. The computer-implemented method of claim 1 wherein providing one or more solutions to the remote storage system includes one or more of: installing one or more software upgrades on the remote storage system; and providing one or more recommendations to an administrator of the remote storage system. 4. The computer-implemented method of claim 1 wherein analyzing the telemetry data to assign a system health score to the remote storage system includes one or more of: analyzing one or more hardware components of the remote storage system for possible firmware upgrades; analyzing one or more software components of the remote storage system for possible software upgrades; and analyzing one or more error codes of the remote storage system. 5. The computer-implemented method of claim 1 wherein the telemetry data includes one or more of usage data and system data. 6. A computer program product residing on a non-transitory computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising: receiving telemetry data from a remote storage system; analyzing the telemetry data to assign a system health score to the remote storage system, wherein assigning a system health score to the remote storage system includes assigning a default health score and deducting from the assigned default health score based upon, at least in part, one or more issues identified within the remote storage system; providing one or more solutions to the remote storage system based, at least in part, upon the assigned system health score, wherein providing the one or more solutions includes installing one or more firmware upgrades on the remote storage system and providing one or more incentives to the administrator of the remote storage system, wherein each of installing the one or more firmware upgrades on the remote storage system and receiving an acceptance of the one or more incentives provided to the administrator increases the system health score assigned to the remote storage system; and comparing the system health score assigned to the remote storage system to other system health scores assigned to other remote storage systems, wherein comparing the system health score assigned to the remote storage system to other system health scores assigned to other remote storage systems includes utilizing data modeling to determine trends and predict future health scores, wherein determining trends include at least one of: a) determining regions or countries more prone to certain types of failures than other regions or countries b) determining times of year more prone to failure than other times of year, and c) determining an increased rate of total failure based on a combination of bad SMART data and bandwidth above a certain threshold for a certain period of time. 7. The computer program product of claim 6 further comprising instructions for: gathering the telemetry data on the remote storage system. 8. The computer program product of claim 6 wherein providing one or more solutions to the remote storage system includes one or more of: installing one or more software upgrades on the remote storage system; and providing one or more recommendations to an administrator of the remote storage system. 9. The computer program product of claim 6 wherein analyzing the telemetry data to assign a system health score to the remote storage system includes one or more of: analyzing one or more hardware components of the remote storage system for possible firmware upgrades; analyzing one or more software components of the remote storage system for possible software upgrades; and analyzing one or more error codes of the remote storage system. 10. The computer program product of claim 6 wherein the telemetry data includes one or more of usage data and system data. 11. A computing system including a processor and memory configured to perform operations comprising: receiving telemetry data from a remote storage system; analyzing the telemetry data to assign a system health score to the remote storage system, wherein assigning a system health score to the remote storage system includes assigning a default health score and deducting from the assigned default health score based upon, at least in part, one or more issues identified within the remote storage system; providing one or more solutions to the remote storage system based, at least in part, upon the assigned system health score, wherein providing the one or more solutions includes installing one or more firmware upgrades on the remote storage system and providing one or more incentives to the administrator of the remote storage system, wherein each of installing the one or more firmware upgrades on the remote storage system and receiving an acceptance of the one or more incentives provided to the administrator increases the system health score assigned to the remote storage system; and comparing the system health score assigned to the remote storage system to other system health scores assigned to other remote storage systems, wherein comparing the system health score assigned to the remote storage system to other system health scores assigned to other remote storage systems includes utilizing data modeling to determine trends and predict future health scores, wherein determining trends include at least one of: a) determining regions or countries more prone to certain types of failures than other regions or countries b) determining times of year more prone to failure than other times of year, and c) determining an increased rate of total failure based on a combination of bad SMART data and bandwidth abo
for prediction of maintenance · CPC title
by checking functioning · CPC title
the condition being updates or upgrades of network functionality · CPC title
Reliability or availability analysis · CPC title
Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters · CPC title
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