Java python developers: How to Reduce Garbage-Collection Pause Time?

Long GC Pause can have a direct impact on response time and throughput.There are two general ways

to reduce Long garbage-collection pause time and the impact it has on application performance:

1)The garbage collection can be done using multiple CPUs and be executed in parallel. Although the application threads remain fully suspended during this time, the garbage collection can be

done in a fraction of the time, effectively reducing the suspension time.

2)The second approach is leave the application running, and execute garbage collection

concurrently with the application execution.

These two logical solutions have led to the development of serial, parallel, and concurrent

garbage-collection strategies, which represent the foundation of all existing Java garbage-

collection implementations.

The serial collector suspends the application threads and executes the mark-and-sweep algorithm in a single thread. It is the simplest and oldest form of garbage collection in Java and is still the default in the Oracle HotSpot JVM.

The parallel collector uses multiple threads to do its work. It can therefore decrease the GC

pause time by leveraging multiple CPUs. It is often the best choice for throughput applications.

The concurrent collector does the majority of its work concurrent with the application execution.

It has to suspend the application for only very short amounts of time. This has a big benefit for

response-time–sensitive applications, but has its own drawbacks. Such as the algorithm is more

complicated than the other two and consequently requires more CPU cycles and also requires more

fine tuning and has more configuration options than the other approaches

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Some Amazing fact about memory (petabyte,exabyte,zettabyte) And How much data exists on the Web?

Java python developers

Monday, 3 February 2014

How to Reduce Garbage-Collection Pause Time?

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