Multicast Parallel Processing with Python

Multicast Parallel Processing with Python

Multicast Parallel Processing with Python. This post is about how to process multicast data in the client side with Python. Multicast networking is a communication method where a single packet can be sent by a server and received by many clients. A multicast server just need to send a packet once and it will be received by all recipients, since the replication and distribution is performed by the network rather than the head in the server. This kind of architecture scales well to a extremely large amount of receivers.

This post is about how to process multicast data in the client side.

Multicast networking is a communication method where a single packet can be sent by a server and received by many clients. A multicast server just need to send a packet once and it will be received by all recipients, since the replication and distribution is performed by the network rather than the head in the server. This kind of architecture scales well to a extremely large amount of receivers.

This kind of architecture is commonly used to distribute audio/visual data streaming and real time stock market data over UDP (User Datagram Protocol).

One of the challenges we might face when processing multicast data in the client side is the throughput. When we have to handle high throughput (flow rate, usually measured in MB/sec), it is required a mechanism to receive data very quickly. If for any reason, the client is not listening at multicast channel, the client will lose packets transmitted in that time interval.

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