Hi,

I have designed the core of my application using Akka actors which I'm
describing below:

The application is a request-response system. There are three entities -
the client, the main server and the agent.

Communication between all the entities are over plain HTTP. For every
request the client sends to the main server, the main server sends a
request each to multiple remote agents, usually between 5 to 10. Each agent
responds to the request within 100 ms with a piece of information which the
main server collates and responds back to the client.

The main server is on a separate machine and each of the agents are on
different machines.

In my design the main server is designed using Akka actors. HTTP
front-ending is done using the Simple Framework. Each received HTTP request
is converted to a "DataRequest" message (containing the HTTP response
object) and round-robin dispatched by a RouterActor to 5 instances of
MasterActor. A MasterActor then creates multiple AgentActor instances. Each
AgentActor makes an async HTTP request (using Ning AsyncHttpClient with
NettyAsyncHttpProvider)  to the remote agent and responds to the
MasterActor with the received data as a "DataResponse" message. The
MasterActor finally responds back to client with the collated data.

Peformance testing on a 4-core i7 machine with 16 GB ram gave the following
results:

Throughput: ~640 tps, peak
CPU usage:  ~23% overall (application only, across all cores). There's no
other load on the HW.
Response times, as seen by the client: 105 ms (median), which includes the
100 ms agent response time.

My objective now is to increase the throughput to about 4000 tps while
maintaining the same end-to-end response time.

1. What's the maximum ballpark throughput that I can expect with the above
design on the same HW? Does aiming for 4000 tps sound reasonable?

2. What design changes or tuning can be done to achieve the target of 4000
tps?

I would greatly appreciate any pointers or suggestions on how to do this.

Best regards,
Shiva

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