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Impact of the Machine's RAM on G/S Performance

I have a small query, is there any significance of the host machine's RAM on the performance of G/S on dedicated servers. Will there be any impact on performance for hosting 4GB containers (GSCs) on 32 GB machine v/s 64 GM Linux machine.

We shall be hosting GSC on dedicated Linux blade servers for GigaSpaces only.

Any pointers and clues will be appreciated.

Regards Asheesh

Edited by: Asheesh Mathur on Jul 10, 2013 12:04 PM

Edited by: Asheesh Mathur on Jul 10, 2013 12:14 PM

{quote}This thread was imported from the previous forum. For your reference, the original is [available here|http://forum.openspaces.org/thread.jspa?threadID=4118]{quote}

asked 2013-07-10 12:02:44 -0600

asheeshm gravatar image

updated 2013-08-08 09:52:00 -0600

jaissefsfex gravatar image
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4GB is considered today a small JVM. I suggest you go for 8GB. We see many customers crossing the 30GB.
This how you can use the CompressedOops (up to 30GB) option and getting the most out of the JVM in terms of capacity.

When using a 32GB machine vs. 64 GB machine you will have different ratio of GB per core as you will probably have more JVMs running on the 64 GB machine.
In such a case , in theory , you will have better performance with the 32 GB machine.

Shay

answered 2013-07-10 12:28:07 -0600

shay hassidim gravatar image
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Thanks for quick response, I will consider changing the size to atleast 8GB. Could you please elaborate on the statement "you will have different ratio of GB per core as you will probably have more JVMs running on the 64 GB machine". In the above statement, is GB referring to RAM and Core the CPU cores ? Considering your clarifications, performance on 32 GB RAM will be better because of fewer JVMs running. Is that correct.

So if we have to plan for 8 containers (4 Primary and 4 Backup) each of 8 GB, so a better option would be to host them on two physical machines of 32 GB each rather then one machine of 64 GB ( in theory).

Also should could you please explain the used memory increasing by almost 80-90% during load testing. This will help us in planning capacity.

asheeshm gravatar imageasheeshm ( 2013-07-10 13:19:20 -0600 )edit

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Asked: 2013-07-10 12:02:44 -0600

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Last updated: Jul 10 '13