Determining a deployment schedule for operations performed on devices using device dependencies and redundancies
An apparatus comprises a processing device configured to generate a model of a plurality of devices characterizing relationships between the devices, to build a device dependency chain for the devices based on the model, to predict workload for each of the devices in one or more time slots of a given time period, and to determine a deployment schedule for the devices based on the device dependency chain and the predicted workload. The processing device is also configured to utilize the deployment schedule to select a device of the devices on which to perform an operation, to determine whether the selected device corresponds to an additional device of the devices configured to operate in place of the selected device during performance of the operation, and to control performance of the operation on the selected device responsive to the determination of whether the selected device corresponds to the additional device.
1. An apparatus comprising:
at least one processing device comprising a processor coupled to a memory;
the at least one processing device being configured to perform steps of:
generating a model of a plurality of devices in an information technology infrastructure, the generated model characterizing relationships between the plurality of devices;
building a device dependency chain for the plurality of devices based at least in part on the generated model characterizing the relationships between the plurality of devices;
predicting workload for each of the plurality of devices in one or more time slots of a given time period;
determining a deployment schedule for the plurality of devices based at least in part on the device dependency chain and the predicted workload for each of the plurality of devices in the one or more time slots;
utilizing the deployment schedule to select a device of the plurality of devices on which to perform an operation;
determining whether the selected device corresponds to an additional device of the plurality of devices configured to operate in place of the selected device during performance of the operation; and
controlling performance of the operation on the selected device responsive to the determination of whether the selected device corresponds to the additional device.
2. The apparatus of claim 1 wherein the plurality of devices comprise Internet of Things devices.
3. The apparatus of claim 1 wherein determining whether the selected device corresponds to the additional device comprises:
analyzing configurations of the plurality of devices to build a device redundancy matrix comprising relationships between at least a subset of the plurality of devices identified as being able to operate in place of one or more devices in the subset; and
identifying a relationship between the selected device and the additional device on the device redundancy matrix.
4. The apparatus of claim 1 wherein the operation comprises updating at least one application on the selected device.
5. The apparatus of claim 4 wherein the operation is performed using a rolling update mechanism responsive to an affirmative determination that the selected device corresponds to the additional device, and wherein performing the operation using the rolling update mechanism comprises:
notifying the additional device of the operation to be performed on the selected device; and
configuring an application on the additional device to operate in place of the at least one application on the selected device during the updating of the at least one application on the selected device.
6. The apparatus of claim 4 wherein the operation is performed using an in-place update mechanism responsive to a negative determination that the selected device corresponds to the additional device.
7. The apparatus of claim 1 wherein the model of the plurality of devices comprises a directed weighted graph with nodes representing the plurality of devices and edges between the nodes representing call relationships between the plurality of devices.
8. The apparatus of claim 7 wherein a given edge weight associated with a given edge between a first node and a second node in the directed weighted graph is based at least in part on a number of requests between the first node and the second node and an amount of data exchanged between the first node and the second node.
9. The apparatus of claim 1 wherein building the device dependency chain for the plurality of devices comprises computing an overall dependency score for each of the plurality of devices, the overall dependency score for a given device comprising a sum of pairwise dependency scores characterizing activity between the given device and each of at least a subset of other ones of the plurality of devices that have call relationships with the given device.
10. The apparatus of claim 1 wherein the given time period comprises a day, and the one or more time slots comprise hours in the day.
11. The apparatus of claim 1 wherein predicting the workload for each of the plurality of devices in the one or more time slots of the given time period comprises utilizing a machine learning regression analysis.
12. The apparatus of claim 11 wherein the machine learning regression analysis comprises a multivariate linear regression analysis.
13. The apparatus of claim 12 wherein the multivariate linear regression analysis is based at least in part on two or more of processor utilization of the plurality of devices, memory utilization of the plurality of devices, availability of the plurality of devices, response time of the plurality of devices, and disk utilization of the plurality of devices.
14. The apparatus of claim 1 wherein determining the deployment schedule comprises, for a given one of the one or more time slots of the given time period:
identifying a subset of the devices whose lowest predicted workload is in the given time slot; and
selecting an order in which the identified subset of the devices whose lowest predicted workload is in the given time slot in decreasing order of dependency scores obtained from the device dependency chain.
15. The apparatus of claim 1 wherein the deployment schedule specifies a sequence in which the operation is to be performed on the plurality of devices.
16. A computer program product comprising a non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes the at least one processing device to perform steps of:
generating a model of a plurality of devices in an information technology infrastructure, the generated model characterizing relationships between the plurality of devices;
building a device dependency chain for the plurality of devices based at least in part on the generated model characterizing the relationships between the plurality of devices;
predicting workload for each of the plurality of devices in one or more time slots of a given time period;
determining a deployment schedule for the plurality of devices based at least in part on the device dependency chain and the predicted workload for each of the plurality of devices in the one or more time slots;
utilizing the deployment schedule to select a device of the plurality of devices on which to perform an operation;
determining whether the selected device corresponds to an additional device of the plurality of devices configured to operate in place of the selected device during performance of the operation; and
controlling performance of the operation on the selected device responsive to the determination of whether the selected device corresponds to the additional device.
17. The computer program product of claim 16 wherein determining whether the selected device corresponds to the additional device comprises:
analyzing configurations of the plurality of devices to build a device redundancy matrix comprising relationships between at least a subset of the plurality of devices identified as being able to operate in place of one or more devices in the subset; and
identifying a relationship between the selected device and the additional device on the device redundancy matrix.
18. The computer program product of claim 16 wherein:
the operation comprises updating at least one application on the selected device;
the operation is performed using a rolling update mechanism responsive to an affirmative determination that the selected device corresponds to the additional device; and
performing the operation using the rolling update mechanism comprises:
notifying the additional device of the operation to be performed on the selected device; and
configuring an application on the additional device to operate in place of the at least one application on the selected device during the updating of the at least one application on the selected device.
19. A method comprising:
generating a model of a plurality of devices in an information technology infrastructure, the generated model characterizing relationships between the plurality of devices;
building a device dependency chain for the plurality of devices based at least in part on the generated model characterizing the relationships between the plurality of devices;
predicting workload for each of the plurality of devices in one or more time slots of a given time period;
determining a deployment schedule for the plurality of devices based at least in part on the device dependency chain and the predicted workload for each of the plurality of devices in the one or more time slots;
utilizing the deployment schedule to select a device of the plurality of devices on which to perform an operation;
determining whether the selected device corresponds to an additional device of the plurality of devices configured to operate in place of the selected device during performance of the operation; and
controlling performance of the operation on the selected device responsive to the determination of whether the selected device corresponds to the additional device;
wherein the method is performed by at least one processing device comprising a processor coupled to a memory.
20. The method of claim 19 wherein determining whether the selected device corresponds to the additional device comprises:
analyzing configurations of the plurality of devices to build a device redundancy matrix comprising relationships between at least a subset of the plurality of devices identified as being able to operate in place of one or more devices in the subset; and
identifying a relationship between the selected device and the additional device on the device redundancy matrix.