In my real server I use an external queue for every client.
Inside the OnDataAvailable callback, the packet is appended to the queue
of every socket.
The OnDataSent callback of every socket is used to get a new packet from
the queue and packets are aggregated to reach the MTU.
If the queue become too long for a socket, packets are dropped or the
client is disconnected.
The reason why I transmit a great number of packets is that if the
server can handle a number of 500 clients that transmit 1000 packet each
one, probably it can handle 5000 client that transmit 100 packets each
one. But I not be able to simulate 5000 client.
What I'm trying to do with this simulation environment is to understand
the server performance.
In the first scenario, where the server receive only, the behaviour is
quite clear: if the server is busy or the network is busy, then the
speed of the client is automatically reduced by the tcp sliding window
In the second scenario, in which the server routes packets, I get the
stall of the clients. When one client stop to transmit, it never restart.
For me this behaviour is not clear.
I want to keep the routing loop as simple as possible, because my fear
is that, if I introduce one queue per client, that point becomes the
weak link in the chain.
I'd like that, if the server is not able to route this number of
packets, clients reduce their transmission speed, like in the first
scenario, but not stall forever.
I know that the send is async, so I can accept also the out of memory of
the server, at this step.
I think that tcp flow control + bidirectional transmission + routing +
async sockets cause the situation in which, when a tcp window goes to
zero, it can't grow up more and the client stops transmission forever.
I'm searching a way to modify the routing loop to avoid this behaviour.
Il 28/02/2012 20:15, François Piette ha scritto:
>> Do you think that routing cicle is ok? There is a better way to do that?
>> Can you give any advice about that?
> How do you solve the issue which can happen if a client is not receiving
> data fast enough ? The sending socket will buffer data (It is asynchronous
> on send as well) and all memory could be consumed if you don't kill client
> which do not receive data, or at least delete some data (the oldest or the
> Also, with your system, data is duplicated as much as you have clients. This
> is a waste of memory and will not scale up nicely.
> The author of the freeware multi-tier middleware MidWare
> The author of the freeware Internet Component Suite (ICS)
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