Virtual distributed antenna system enhanced hyperscale virtualization

A method implemented in a virtualized distributed antenna system (vDAS) including at least one server and at least one vDAS compute node having a plurality of cores and implementing at least one virtual network function (NF) for at least one radio unit (RU) using at least one vDAS container running on a first subset of the plurality of cores, the method comprising:

• receiving periodic capacity usage reports for the at least one vDAS container at the at least one server from the at least one vDAS compute node;
• comparing scaling metric data derived from the periodic capacity usage reports to threshold limits to determine if any of the threshold limits have been reached by any of the scaling metric data for the at least one vDAS compute node;
• when any of the threshold limits have been reached by any of the scaling metric data for the at least one vDAS compute node:
• causing the at least one vDAS compute node to scale capacity of the at least one vDAS compute node by either instantiating or deleting at least one additional vDAS container on a second subset of the plurality of cores of the at least one vDAS compute node.

A non-transitory processor-readable medium on which program instructions, configured to be executed by at least one processor, are embodied, wherein when executed by the at least one processor, the program instructions cause the at least one processor to:

• receive, at at least one server from at least one vDAS compute node, periodic capacity usage reports for at least one virtualized distributed antenna system (vDAS) including at least one vDAS container operating on a first subset of a plurality of cores of the at least one vDAS compute node;
• compare scaling metric data derived from the periodic capacity usage reports to threshold limits to determine if any of the threshold limits have been reached by any of the scaling metric data for the at least one vDAS compute node;
• when any of the threshold limits have been reached by any of the scaling metric data for the at least one vDAS compute node:
• causing the at least one vDAS compute node to scale capacity of the at least one vDAS compute node by either instantiating or deleting at least one additional vDAS container on a second subset of the plurality of cores of the at least one vDAS compute node.