Orchestrating datacenter workloads based on energy forecasts

A computing apparatus, comprising:

• one or more computer-readable storage media;
• a processing system operatively coupled with the one or more computer-readable storage media;
• and
• program instructions stored on the one or more computing-readable storage media that, based on being read and executed by the processing system, direct the computing apparatus to at least:
• on a per-tenant basis:
• obtain, via one or more machine learning models, at least a real-time utilization of energy grids and an available energy supply of the energy grids for use by datacenters over a period of time;
• obtain, via the one or more machine learning models, a cloud-computing demand projected for the datacenters during the period of time;
• generate a cloud-computing optimization plan based at least on the real-time utilization of the energy grids, the available energy supply, and the cloud-computing demand, wherein the cloud-computing optimization plan comprises a cloud-computing job schedule and one or more energy grids of the energy grids available to the datacenters;
• and
• provide the cloud-computing optimization plan to one or more tenants.

One or more computer-readable storage media having program instructions stored thereon to operate an orchestration engine in an industrial automation environment, wherein the program instructions, when read and executed by a processing system, direct the processing system to at least:

• obtain, via one or more machine learning models, at least a real-time utilization of energy grids and an available energy supply of the energy grids for use by datacenters over a period of time;
• obtain, via the one or more machine learning models, a cloud-computing demand projected for the datacenters during the period of time;
• generate a cloud-computing optimization plan based at least on the real-time utilization of the energy grids, the available energy supply, and the cloud-computing demand, wherein the cloud-computing optimization plan comprises a cloud-computing job schedule and one or more energy grids of the energy grids available to the datacenters;
• and
• provide the cloud-computing optimization plan to one or more tenants.

A fiber-optic bundle coupling apparatus, comprising:

• a first coupling end, wherein the first coupling end encapsulates a first fiber-optic bundle of at least 100,000 fiber-optic cables inserted into a strand separator and surrounded by a first rubber sleeve;
• a second coupling end, wherein the second coupling end encapsulates a second fiber-optic bundle of at least 100,000 fiber-optic cables surrounded by a second rubber sleeve;
• and
• a locking mechanism, wherein the first fiber-optic bundle and the second fiber-optic bundle are spliced together and the first coupling end and the second coupling end are mated to cover spliced areas of the first and second fiber-optic bundles.