Implementation: A Framework for Distributed Computing of Matrix Multiplication Using One Client and Multiple Servers in Python Programming Language. You will extend your program into having multiple servers and one client:

• A client divides a big application into several small problems which are processed by multiple servers.

• All servers compute their respective solutions and send the result to the client.

• The client assembles the result and outputs the final result to the user.

• The client acts as a supervisor.

• The number of available servers and their fully qualified Internet names can

  be saved in a file (some server configuration).

  Client (As a coordinator)

• It reads the server configuration file to get information about the available

  servers.

• It creates an array of sockets and input/output data streams with all servers.

• It passes control to a main function to invoke the work to be done.

Server (Worker)

• It creates a server socket on an unused port number;

• It waits for connection on that port. Once it gets a request from a client, it

  accepts that connection.

• It creates an input/output data stream for the socket. This establishes the

  basis for communication between the server socket and the client.

• It then passes control to the server body, which contains the code specific to

  the application being executed either in parallel or in distributed manner.

• The main server can accept the connection from the client, create a socket

  and invoke the server body to handle that client.

• It goes back and waits for another client.