Socket based application - Performance Issues - Suggestions Needed

Hi All,
We have an application which basically has been developed using core java. Here is a high level information about the application:
a) It opens a serversocket which allows clients to connect to it.
b) For every new client connection, a separate thread is created and this thread deals with requests from clients, processing the data and replying back to clients.
c) Each socket is polled continuously and sockettimeout is 2 seconds. If there is a timeout, we handle the situation and socket is again read. So basically sockets is read every 2 seconds. If number of timeouts reaches a configurable value, we close the connection and thread is dropped as well.
d) In production, three instances of this application are running with the help of a cisco load balancer. It is there for last 5 years.
However there has always been some minor performance isssues and we have sorted them out using different types of garbage collectors, by introducing hardware load balancers, upgrading the code for new Java versions. It is currently running on 1.4.2.
However there has always been some performance issues and today while googling over internet I came across following on the bea website which says that core java sockets are not as efficients as native API. BEA has implemented its own APIs for weblogic. My queries are:
a) Are there any better Java Socket/network API (for solairs, I know Java is plateform independenet but there could be lib which also using native libs) which are much more efficient than Core Java.
b) We are getting the InputStream/OutputStream and creating objects of DataInputStream/DataOutputStream to read the data 'Byte-By-Byte'. Each byte can have different information thats why it is required. Are there any better way of getting info than what we are currently doing.
c) As I mentioned, we are continously polling the socket for read operation with a timeout value of 2 seconds. What is the better among the following from performance point of view: (1) Frequent read operation with a lesser timeout value or (2) Less Frequent read operations with larger timeout value. (3) Any better idea??
Please suggest few things or pointers which I could do to improve the performance of the applcations. Many thanks.
Thanks,Akhil
From BEA website:-
"Although the pure-Java implementation of socket reader threads is a reliable and portable method of peer-to-peer communication, it does not provide the best performance for heavy-duty socket usage in a WebLogic Server cluster. With pure-Java socket readers, threads must actively poll all opened sockets to determine if they contain data to read. In other words, socket reader threads are always "busy" polling sockets, even if the sockets have no data to read. This unnecessary overhead can reduce performance."

My recommendations:
- Always use a BufferedInputStream and BufferedOutputStream around the socket streams
- Increase the socket send and receive buffers to at least 32k if you are on a Windows platform where the default is a ridiculous 8k, which hasn't been enough for about 15 years.
- Your 2-second timeout is far too short. Increase it to at least 10 seconds.
- Your strategy of counting up to N short timeouts of S seconds each is completely pointless. Change it to one single timeout of N*S seconds. There is nothing to be gained by the complication you have introduced to this.

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http://syntx.io/a-client-server-application-using-socket-programming-in-java/
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12)Before uploading a high volume of transaction data into InfoCubes, activate the number-range buffer for dimension IDs. The number-range buffer is a parameter that identifies the number of sequential dimension IDs stored in the memory. If you increase the number range before high-volume data upload, you reduce the number of reads from the dimension tables and hence increase the upload performance. Do not forget to set the number-range values back to their original values after the upload. Use transaction code SNRO to maintain the number range buffer values for InfoCubes.
13)Drop the indexes before uploading high-volume data into InfoCubes. Regenerate them after the upload. Indexes on InfoCubes are optimized for reading data from the InfoCubes. If the indexes exist during the upload, BW reads the indexes and tries to insert the records according to the indexes, resulting in poor upload performance. You can automate the dropping and regeneration of the indexes through InfoPackage scheduling. You can drop indexes in the Manage InfoCube screen in the Administrator Workbench.
14)IDoc (intermediate document) archiving improves the extraction and loading performance and can be applied on both BW and R/3 systems. In addition to IDoc archiving, data archiving is available for InfoCubes and ODS objects.
Hope it Helps
Chetan
@CP..

Socket based application - Performance Issues - Suggestions Needed

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