System and method for transmission of software to remote environments
A system for transmission of software to remote environments, the system including at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive update data for use in one or more operating environments, identify at least one operating environment for receipt of the update data, divide the update data into a plurality of data bundles, transmit the plurality of data bundles to the at least one operating environment, wherein transmitting the plurality of data bundles includes identifying a plurality of participating nodes for transmission of the plurality of data bundles and transmitting each data bundle of the plurality of data bundles with each participating node of the plurality of participating nodes and record the transmission on a central log.
1 . A system for transmission of software to remote environments, the system comprising:
at least a processor; and
a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to:
receive update data comprising a system modification for use in one or more operating environments;
identify at least one operating environment for receipt of the update data;
divide the update data into a plurality of data bundles which comprises dividing the update data and at least one duplicate into the plurality of data bundles, wherein each data bundle of the plurality of data bundles comprises at least one corresponding copy utilizing a node machine learning model which comprises:
receiving node training data comprising a plurality of source nodes and destination nodes correlated to a plurality of node paths;
training, iteratively, the node machine learning model using the node training data, wherein training the node machine learning model includes retraining the node machine learning model with feedback from previous iterations of the node machine learning model; and
determining a node path for the plurality of data bundles as a function of the trained node machine learning model;
transmit the plurality of data bundles to the at least one operating environment, wherein transmitting the plurality of data bundles comprises:
identifying a plurality of participating nodes for transmission of the plurality of data bundles; and
transmitting each data bundle of the plurality of data bundles with each participating node of the plurality of participating nodes, wherein transmitting further comprises:
transmitting a first bundle over a first communication channel; and
transmitting a second bundle over a second communication channel, wherein the second communication channel uses a different communication technology from the first communication channel; and
record the transmission on a central log.
2 . The system of claim 1 , wherein dividing the update data into a plurality of data bundles comprises:
generating at least one duplicate of the update data.
3 . The system of claim 2 , wherein transmitting the plurality of data bundles to the at least one operating environment comprises transmitting the plurality of data bundles through multiple differing network channels.
4 . The system of claim 1 , wherein transmitting the plurality of data bundles to the at least one operating environment further comprises receiving transmission feedback from the at least one operating environment.
5 . The system of claim 1 , wherein transmitting the plurality of data bundles to the at least one operating environment comprises transmitting the plurality of data bundles to the at least one operating environment using delay tolerant networking.
6 . The system of claim 1 , wherein the first network communication channel is a satellite communication channel and the second network communication channel is an ad hoc network communication channel.
7 . The system of claim 1 , wherein identifying at least one operating environment for receipt of the update data comprises identifying one or more operating environments as a function of a DAL classification.
8 . A method for transmission of software to remote environments, the method comprising:
receiving, by at least a processor, update data for use in one or more operating environments comprising a system modification;
identifying, by the at least a processor, at least one operating environment for receipt of the update data;
dividing, by the at least a processor, the update data into a plurality of data bundles which comprises dividing the update data and at least one duplicate into the plurality of data bundles, wherein each data bundle of the plurality of data bundles comprises at least one corresponding copy utilizing a node machine learning model which comprises:
receiving node training data comprising a plurality of source nodes and destination nodes correlated to a plurality of node paths;
training, iteratively, the node machine learning model using the node training data, wherein training the node machine learning model includes retraining the node machine learning model with feedback from previous iterations of the node machine learning model; and
determining a node path for the plurality of data bundles as a function of the trained node machine learning model;
transmitting, by the at least a processor, the plurality of data bundles to the at least one operating environment, wherein transmitting the plurality of data bundles comprises:
identifying a plurality of participating nodes for transmission of the plurality of data bundles; and
transmitting each data bundle of the plurality of data bundles with each participating node of the plurality of participating nodes, wherein transmitting further comprises:
transmitting a first bundle over a first communication channel; and
transmitting a second bundle over a second communication channel, wherein the second communication channel uses a different communication technology from the first communication channel; and
recording, by the at least a processor, the transmission on a central log.
9 . The method of claim 8 , wherein dividing, by the at least a processor, the update data into a plurality of data bundles comprises:
generating at least one duplicate of the update data.
10 . The method of claim 9 , wherein transmitting the plurality of data bundles to the at least one operating environment comprises transmitting the plurality of data bundles through multiple differing network channels.
11 . The method of claim 8 , wherein transmitting the plurality of data bundles to the at least one operating environment further comprises receiving transmission feedback from the at least one operating environment.
12 . The method of claim 8 , wherein transmitting the plurality of data bundles to the at least one operating environment comprises transmitting the plurality of data bundles to the at least one operating environment using delay tolerant networking.
13 . The method of claim 8 , wherein the first network communication channel is a satellite communication channel and the second network communication channel is an ad hoc network communication channel.
14 . The method of claim 8 , wherein identifying, by the at least a processor, at least one operating environment for receipt of the update data comprises identifying one or more operating environments as a function of a DAL classification.