System and method for health reporting in a data center
A system and method for managing large numbers of computing devices such as cryptocurrency miners in a data center are disclosed. Status values from the computing devices are read and stored into a database, and a Gini coefficient is calculated on a subset of the stored status values. Coefficients beyond a predetermined threshold cause a support ticket to be generated if a support ticket has not already been generated and if the coefficients are not otherwise non-indicative of actual or likely computing device failures.
1. A method for managing a data center having a plurality of computing devices, the method comprising:
periodically reading and storing one or more status values for each of the plurality of computing devices;
determining if at least a subset of the computing devices are not sufficiently stable by calculating a Gini coefficient using at least a subset of the stored status values; and
generating a support ticket if the Gini coefficient exceeds a predetermined threshold and a support ticket has not already been generated for the computing devices corresponding to the Gini coefficient;
wherein the support ticket is not generated if the status values are hash rates, and a change in hash difficulty has recently occurred.
2. The method of claim 1 , wherein the status values are hash rates, wherein the predetermined threshold is a 10% drop, and wherein the subset of the stored status values are a set of 3 hours-worth of samples for a particular subset of the plurality of computing devices.
3. The method of claim 1 , wherein the plurality of computing devices comprise ASIC miners, FPGA miners, and GPU miners.
4. The method of claim 1 , wherein the subset of values comprises the N most recent status values for a particular one of the plurality of computing devices.
5. The method of claim 1 , wherein the subset of values comprises the most recent status values for the computing devices in a particular area of the data center.
6. The method of claim 1 , further comprising updating a previously generated support ticket with one or more additional issues.
7. The method of claim 1 , wherein the subset of stored status values includes a number of failed devices.
8. The method of claim 1 , further comprising prioritizing the ticket lower if the computing devices corresponding to the Gini coefficient are unstable but still functioning.
9. A non-transitory, computer-readable storage medium storing instructions executable by a processor of a computational device, which when executed cause the computational device to conduct the method of claim 1 .
10. The non-transitory, computer-readable storage medium of claim 9 , wherein managing the plurality of computing devices in the data center further comprises not generating the support ticket if an earlier support ticket has already been generated and adding information to the earlier support ticket.
11. The method of claim 1 , wherein periodically reading and storing one or more status values for each of the plurality of computing devices includes reading and storing a plurality of status values for a plurality of parameters for each of the plurality of computing devices; and
calculating the Gini coefficient using at least the subset of the stored status values includes determining a respective Gini coefficient for each parameter of the plurality of parameters associated with a particular computing device of the plurality of computing devices.
12. The method of claim 11 , wherein the plurality of parameters include hash rate, temperature, and percentage of operating time.
13. The method of claim 1 , wherein the one or more stored status values include values for percentage of operating time, hash rate, fan speed, and chip temperature for each of the plurality of computing devices.
14. A system for managing a plurality of computing devices in a data center, the system comprising:
a management server configured to communicate with the plurality of computing devices via a network, wherein the management server is configured to:
periodically read and store status data from the plurality of computing devices;
determine if at least a subset of the plurality of computing devices are sufficiently stable by calculating a Gini coefficient for at least a subset of the stored status data; and
create a support ticket in response to detecting that the calculated Gini coefficient is outside a predetermined threshold and that no prior ticket has already been generated for the computing devices corresponding to the calculated Gini coefficient;
wherein the management server is configured to determine if at least one exception of a plurality of exceptions applies if the Gini coefficient is outside the predetermined threshold;
the management server is configured not to create the support ticket if at least one exception applies; and
the plurality of exceptions includes (i) if a corresponding computing device of the plurality of computing devices was recently rebooted, (ii) if a hash difficulty recently changed, and (iii) if a change associated with the Gini coefficient that is outside the predetermined threshold is a beneficial change.
15. The system of claim 14 , wherein the support ticket includes the Gini coefficient.
16. A system for managing a plurality of computing devices in a data center, the system comprising:
a management server configured to communicate with the plurality of computing devices via a network, wherein the management server is configured to:
periodically read and store status data from the plurality of computing devices;
determine if at least a subset of the plurality of computing devices are sufficiently stable by calculating a Gini coefficient for at least a subset of the stored status data; and
create a support ticket in response to detecting that the calculated Gini coefficient is outside a predetermined threshold and that no prior ticket has already been generated for the computing devices corresponding to the calculated Gini coefficient;
wherein the management server is configured to refrain from generating a ticket if the status data includes hash rates, and a change in hash difficulty has recently occurred.
17. The system of claim 14 , wherein the management server is configured to present a user interface to allow a user to edit the predetermined threshold.