AUTONOMOUS DISTRIBUTED WORKLOAD AND INFRASTRUCTURE SCHEDULING

1 . A tangible, non-transitory, machine-readable medium storing instructions that when executed by one or more processors effectuate operations comprising:

obtaining, with at a data center, data for an application from a computing device of a user via a wireless network, wherein:

the data center provides edge-based computing services to the computing device of the user,

the application is associated with a first tenant of a plurality of tenants of the data center, and

the data center comprises a computing resource, wherein access to the computing resource is isolated to the first tenant;

obtaining, with one or more processors, physical telemetry data of the data center;

accessing, with one or more processors, a policy of a plurality of policies that indicates how to allocate computing resources based on the association between the application and the first tenant, wherein the policy specifies a set of resource allocation actions;

allocating, with one or more processors, the computing resource to the application using on the policy based on the physical telemetry data;

executing, with one or more processors, an operation of the application using the computing resource to determine a computed result; and

sending, with one or more processors, the computed result to the computing device of the user via the wireless network.

2 . The medium of claim 1 , wherein allocating the computing resource comprises selecting the data center from among a plurality of data centers, and wherein a set of computing resources of the plurality of data centers are in communication with one another.

3 . The medium of claim 2 , wherein the plurality of data centers comprises more than 1,000 data centers.

4 . The medium of claim 2 , wherein each respective data center of the plurality of data centers executes a respective instance of the application.

5 . The medium of claim 2 , wherein the data center is an edge-based computing facility, and wherein the edge-based computing facility is a shared data center environment, and wherein the plurality of data centers vary in size.

6 . The medium of claim 2 , where the data center is co-located with a cellular tower, and wherein each respective data center of the plurality of data centers is co-located with a respective cellular tower.

7 . The medium of claim 1 , wherein the data center is within cellular range of the computing device.

8 . The medium of claim 1 , wherein the data center is an edge data center.

9 . The medium of claim 1 , wherein executing the operation of the application comprises executing a machine learning operation to determine the computed result.

10 . The medium of claim 1 , wherein:

the computing device of the user is a self-driving automobile or an autonomous drone,

the data comprises image data, and

the computed result comprises a classification.

11 . The medium of claim 1 , wherein:

the computing resource is a first computing resource,

the policy associates a first latency value to the first computing resource,

the policy associates a second latency value to a second computing resource, and

allocating the first computing resource comprises selecting the first computing resource based on an association between the application and the first latency value.

12 . The medium of claim 1 , wherein the data center is a first data center, the operations further comprising:

storing a value of the data on a persistent memory of a first computing device of the first data center; and

sending the value to a persistent memory of a second computing device of a second data center amongst a plurality of data centers based on a determination that the second computing device is operating as a leader node, wherein:

the plurality of data centers comprises the first data center, the second data center, and a third data center;

the leader node is elected a based on a set of votes provided by computing devices of the plurality of data centers, and

the leader node distributes the value to a third computing device of the third data center of the plurality of data centers.

13 . The medium of claim 12 , wherein the second computing device distributes a command to the first computing device, and wherein the command comprises an update to the plurality of policies.

14 . The medium of claim 1 , wherein the physical telemetry data comprises a temperature and humidity of the data center.

15 . The medium of claim 1 , wherein allocating the computing resource comprises:

searching a parameter space to determine a response value based on a series of operations to minimize or maximize an objective function, wherein the parameter space comprises a parameter causing the allocation of the computing resource; and

allocating the computing resource based on the response value.

16 . The medium of claim 15 , wherein searching the parameter space comprises:

obtaining a neural network configured based on the objective function; and

determining the response value using the neural network.

17 . The medium of claim 1 , wherein the policy comprises a set of weights by which performance metrics are combined in a plurality of weighted scores, each weighted score being associated with a different candidate resource allocation action of the set of resource allocation actions, and wherein allocating the computing resource comprises selecting a resource allocation action based on the plurality of weighted scores.

18 . The medium of claim 17 , wherein the performance metrics comprises at least one of temperature, processor utilization, fan speed, memory utilization, bandwidth utilization, packet loss, storage utilization, or power utilization.

19 . The medium of claim 1 , the operations further comprising:

obtaining resource metadata, wherein the resource metadata comprises a location of a third data center;

selecting, with a scheduling algorithm, a computing resource of the third data center based on the location; and

executing the application using the computing resource of the third data center.

20 . The medium of claim 1 , wherein at least some other policies in the plurality of policies are each associated with different tenant accounts of the plurality of tenants.