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06-08-2005 07:43 AM
06-08-2005 07:43 AM
hi
I'm using Proxy Squid on linux for 300 Internet clients.
How much cache is needed normally for so many clients ?
kind regards
chris
I'm using Proxy Squid on linux for 300 Internet clients.
How much cache is needed normally for so many clients ?
kind regards
chris
Solved! Go to Solution.
3 REPLIES 3
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06-08-2005 08:06 AM
06-08-2005 08:06 AM
Re: Squid cache for 300 clients
Hi Chris,
it does not depend on the number of clients. It depends on the traffic.
I guess that 256 Mb ram cache and 1 Gb disk cache are ok for you, but ... you will have to monitor and adjust.
Those documents may help you
http://squid-docs.sourceforge.net/latest/html/c21.html#AEN26
http://www.squid-cache.org/Benchmarking/tps-vs-diskuse/
regards,
Xyko
it does not depend on the number of clients. It depends on the traffic.
I guess that 256 Mb ram cache and 1 Gb disk cache are ok for you, but ... you will have to monitor and adjust.
Those documents may help you
http://squid-docs.sourceforge.net/latest/html/c21.html#AEN26
http://www.squid-cache.org/Benchmarking/tps-vs-diskuse/
regards,
Xyko
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06-08-2005 06:15 PM
06-08-2005 06:15 PM
Solution
Hi Chris,
The more the RAM & Disk, the better the performance of sQUID. You can also make a just satisfactory setup with 128-256 MB RAM & 1-2 GB disk, but I would use around 512 MB RAM and 6-10 GB disk for a 300 user's setup.
The more the RAM & Disk, the better the performance of sQUID. You can also make a just satisfactory setup with 128-256 MB RAM & 1-2 GB disk, but I would use around 512 MB RAM and 6-10 GB disk for a 300 user's setup.
PreSales Specialist
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06-09-2005 12:27 AM
06-09-2005 12:27 AM
Re: Squid cache for 300 clients
It totally depends on where they go on the Internet and what they look at.
Heavy users are going to put heavier demands on the cache. I would suggest a figure that does not totally use up free RAM and adjust it based on running some use reports to see what kind of cache hit percentages you get after the cache gets built up.
SEP
Heavy users are going to put heavier demands on the cache. I would suggest a figure that does not totally use up free RAM and adjust it based on running some use reports to see what kind of cache hit percentages you get after the cache gets built up.
SEP
Steven E Protter
Owner of ISN Corporation
http://isnamerica.com
http://hpuxconsulting.com
Sponsor: http://hpux.ws
Twitter: http://twitter.com/hpuxlinux
Founder http://newdatacloud.com
Owner of ISN Corporation
http://isnamerica.com
http://hpuxconsulting.com
Sponsor: http://hpux.ws
Twitter: http://twitter.com/hpuxlinux
Founder http://newdatacloud.com
The opinions expressed above are the personal opinions of the authors, not of Hewlett Packard Enterprise. By using this site, you accept the Terms of Use and Rules of Participation.
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