http://debianws.lexgopc.com/wiki143/index.php?action=history&feed=atom&title=Capacity_optimizationCapacity optimization - Revision history2026-05-04T18:16:19ZRevision history for this page on the wikiMediaWiki 1.43.1http://debianws.lexgopc.com/wiki143/index.php?title=Capacity_optimization&diff=1676464&oldid=previmported>Bearian: Deprodding: has 4 sources2025-03-29T18:09:16Z<p>Deprodding: has 4 sources</p>
<p><b>New page</b></p><div>{{see also|Data deduplication}}<br />
'''Capacity optimization''' is a general term for technologies used to improve storage use by shrinking stored data. Primary technologies used for capacity optimization are [[data deduplication]] and [[data compression]]. These are delivered as software or hardware, integrated with storage systems or delivered as standalone products. Deduplication algorithms look for redundancy in sequences of bytes across comparison windows. Typically using [[cryptographic hash functions]] as identifiers of unique sequences, sequences are compared to the history of other such sequences, and where possible, the first uniquely stored version of a sequence is referenced rather than stored again. Different methods for selecting data windows include 4KB blocks to full-file comparisons known as [[single-instance storage]] (SIS).<br />
<br />
Capacity optimization generally refers to the use of this kind of technology in a storage system. An example of this kind of system is the Venti file system <ref>[http://cm.bell-labs.com/who/seanq/venti-fast02-talk.pdf Venti filesystem] {{webarchive |url=https://web.archive.org/web/20060104212513/http://cm.bell-labs.com/who/seanq/venti-fast02-talk.pdf |date=January 4, 2006 }}</ref> in the Plan9 open source OS. There are also implementations in networking (especially wide-area networking), where they are sometimes called '''bandwidth optimization''' or [[WAN optimization]].<ref>{{Cite web |url=http://www.cs.washington.edu/homes/djw/papers/spring-sigcomm00.pdf |title=Spring and Wetherall, ''A Protocol Independent Technique for Eliminating Redundant Network Traffic'' |access-date=2005-08-05 |archive-url=https://web.archive.org/web/20050304005153/http://www.cs.washington.edu/homes/djw/papers/spring-sigcomm00.pdf |archive-date=2005-03-04 |url-status=dead }}</ref><ref>F. Foukalas et al., [https://doi.org/10.1007%2Fs11590-011-0345-8 ''Capacity optimization through sensing threshold adaptation for cognitive radio networks'']</ref><br />
<br />
Commercial implementations of capacity optimization are most often found in backup/recovery storage, where storage of iterating versions of backups day to day creates an opportunity for reduction in space using this approach. The term was first used widely in 2005.<ref>[http://searchstorage.techtarget.com/sDefinition/0,290660,sid5_gci1103991,00.html "Capacity optimization" defined by searchstorage.com]</ref><br />
<br />
== References ==<br />
<references/><br />
Capacity optimization through sensing threshold adaptation for cognitive radio networks (https://doi.org/10.1007%2Fs11590-011-0345-8)<br />
<br />
[[Category:Software optimization]]<br />
<br />
<br />
{{software-eng-stub}}</div>imported>Bearian