Adaptive concurrency control for media pipeline

A system for providing data streams, comprising:

• a network monitor;
• a throttling module;
• a machine learning model;
• one or more processors;
• and
• a non-transitory-computer readable medium comprising instructions that, when executed by the one or more processors, cause the system to:
• receive, by the network monitor, a network alert associated with a cloud network configured to provide a plurality of data streams to user devices and comprising one or more network components, the network alert comprising request data associated with one or more requests received from respective user devices for at least one of the plurality of data streams;
• determine, by the network monitor, a network status of the cloud network, the network status indicating a network load of the cloud network;
• determine, by the network monitor, that the network load exceeds a traffic threshold of the cloud network;
• provide, by the network monitor, at least one of the request data and the network status to the machine learning model, the machine learning model configured to assign a priority score of each of the plurality of data streams based on the request data and/or the network status;
• determine, by the system and using the priority scores, a high-priority data stream of the plurality of data streams and a second data stream of the plurality of data streams;
• provide, by the system, first instructions to at least one of the one or more network components indicating that the high-priority data stream of the plurality of data streams is to be provided to a first user device according to a request for the high-priority data stream at a first rate;
• generate, by the throttling module, queue instructions based at least in part on the priority scores;
• and
• provide, by the system and to at least one network component of the one or more network components, the queue instructions to queue a request for the second data stream from a second user device, the queue instructions configured to cause the at least one network component to route the request for the second data stream when the network load falls below a second traffic threshold of the cloud network.

A system comprising:

• one or more processors;
• and
• a non-transitory-computer readable medium comprising instructions that, when executed by the one or more processors, cause the system to:
• receive, by the system, a network alert associated with a cloud network configured to provide a plurality of data streams to user devices and comprising one or more network components, the network alert comprising request data associated with one or more requests received from respective user devices for at least one of the plurality of data streams;
• determine, by the system, a network status of the cloud network, the network status indicating a network load of the cloud network;
• determine, by the system, that the network load exceeds a traffic threshold of the cloud network;
• provide, by the system, at least one of the request data and the network status to a machine learning model, the machine learning model configured to assign a priority score of each of the plurality of data streams based on the request data and/or the network status;
• determine, by the system and using the priority scores, a high-priority data stream of the plurality of data streams and a second data stream of the plurality of data streams;
• provide, by the system, first instructions to at least one of the one or more network components indicating that the high-priority data stream of the plurality of data streams is to be provided to a first user device according to a request for the high-priority data stream at a first rate;
• generate, by the system, queue instructions based at least in part on the priority scores;
• and
• provide, by the system and to at least one network component of the one or more network components, the queue instructions to queue a request for the second data stream from a second user device, the queue instructions configured to cause the at least one network component to route the request for the second data stream when the network load falls below a second traffic threshold of the cloud network.