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Performing data storage operations with a cloud environment, including containerized deduplication, data pruning, and data transfer

机译:在云环境中执行数据存储操作,包括容器化重复数据删除,数据修剪和数据传输

摘要

Various systems and methods may be used for performing data storage operations, including content-indexing, containerized deduplication, and policy-driven storage, within a cloud environment. The systems support a variety of clients and cloud storage sites that may connect to the system in a cloud environment that requires data transfer over wide area networks, such as the Internet, which may have appreciable latency and/or packet loss, using various network protocols, including HTTP and FTP. Methods for content indexing data stored within a cloud environment may facilitate later searching, including collaborative searching. Methods for performing containerized deduplication may reduce the strain on a system namespace, effectuate cost savings, etc. Methods may identify suitable storage locations, including suitable cloud storage sites, for data files subject to a storage policy. Further, the systems and methods may be used for providing a cloud gateway and a scalable data object store within a cloud environment.
机译:各种系统和方法可用于在云环境中执行数据存储操作,包括内容索引,容器化重复数据删除和策略驱动的存储。该系统支持各种客户端和云存储站点,这些客户端和云存储站点可能需要使用各种网络协议在需要通过广域网(例如Internet)进行数据传输的云环境中连接到系统,而Internet可能具有明显的延迟和/或数据包丢失,包括HTTP和FTP。用于对存储在云环境中的数据进行内容索引的方法可以促进以后的搜索,包括协作搜索。用于执行容器化重复数据删除的方法可以减少对系统名称空间的负担,实现成本节省等。方法可以为受存储策略约束的数据文件标识合适的存储位置,包括合适的云存储站点。此外,该系统和方法可以用于在云环境内提供云网关和可伸缩数据对象存储。

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