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An information repository is an easy way to deploy a secondary tier of data storage that can comprise multiple, networked data storage technologies running on diverse operating systems, where data that no longer needs to be in primary storage is protected, classified according to captured metadata, processed, de-duplicated, and then purged, automatically, based on data service level objectives and requirements. In information repositories, data storage resources are virtualized as composite storage sets and operate as a federated environment. Information repositories were developed to mitigate problems arising from data proliferation and eliminate the need for separately deployed data storage solutions because of the concurrent deployment of diverse storage technologies running diverse operating systems. They feature centralized management for all deployed data storage resources. They are self-contained, support heterogeneous storage resources, support resource management to add, maintain, recycle, and terminate media, track of off-line media, and operate autonomously. ==Automated data management== Since one of the main reasons for the implementation of an Information repository is to reduce the maintenance workload placed on IT staff by traditional data storage systems, information repositories are automated. Automation is accomplished via polices that can process data based on time, events, data age, and data content. Policies manage the following: *File system space management *Irrelevant data elimination (mp3, games, etc.) *Secondary storage resource management Data is processed according to media type, storage pool, and storage technology. Because information repositories are intended to reduce IT staff workload, they are designed to be easy to deploy and offer configuration flexibility, virtually limitless extensibility, redundancy, and reliable failover. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「information repository」の詳細全文を読む スポンサード リンク
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