System and method for creating and using floating virtual machines

A method, comprising:

• instantiating a plurality of virtual machines on a plurality of hardware platforms;
• attaching a floating management layer to each of the plurality of virtual machines;
• coupling each virtual machine to one of the plurality of hardware platforms through the attached floating management layer;
• monitoring performance of the plurality of virtual machines through each of the attached floating management layers;
• detecting, based on the monitoring, a trigger, the trigger being based on:
• a comparison between a first energy rate in a first geographic location where one of the plurality of hardware platforms is located and a second energy rate in a second geographic location where a second of the plurality of hardware platforms is located, a heating of resources, hardware faults, delay or latency considerations, humidity, electromagnetic interference, and detection of a hardware attack or breach, the second energy rate being less than the first energy rate in terms of expense;
• and
• coordinating, based on the detecting of the trigger, movement of the plurality of virtual machines among the plurality of hardware platforms,
• wherein the trigger causes a movement of at least two of the plurality of virtual machines from at least two geographical areas to a cluster in a geographical area to reduce electrical consumption, and
• wherein the movement of the at least two of the plurality of virtual machines is based on a use of machine learning and a historical data, wherein the historical data includes a historical record of previous moves of virtual machines to hardware resources, performance measurements before and after the previous moves, and loading and environmental conditions at the time of the previous moves.

A system comprising:

• a plurality of interconnected hardware platforms, wherein the plurality of interconnected hardware platforms is configured to run a software defined network;
• a plurality of virtual machines configured to be instantiated on the software defined network;
• and
• a plurality of floating management layers, each of the floating management layers configured to attach to each of the plurality of virtual machines, wherein each of the floating management layers is configured to couple an attached virtual machine of the plurality of virtual machines to one of the plurality of interconnected hardware platforms, and wherein at least one of the floating management layers is configured to move the attached virtual machine based on a trigger, the trigger being based on:
• a comparison between a first energy rate in a first geographic location where the one of the plurality of interconnected hardware platforms is located and a second energy rate in a second geographic location where a second of the plurality of interconnected hardware platforms is located, a heating of resources, hardware faults, delay or latency considerations, humidity, electromagnetic interference, and detection of a hardware attack or breach, the second energy rate being less than the first energy rate in terms of expense,
• wherein the trigger causes a movement of at least two of the plurality of virtual machines from at least two geographical areas to a cluster in a geographical area to reduce electrical consumption, and
• wherein the movement of the at least two of the plurality of virtual machines is based on a use of machine learning and a historical data, wherein the historical data includes a historical record of previous moves of virtual machines to hardware resources, performance measurements before and after the previous moves, and loading and environmental conditions at the time of the previous moves.