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DATA OBJECT STORE AND SERVER FOR A CLOUD STORAGE ENVIRONMENT, INCLUDING DATA DEDUPLICATION AND DATA MANAGEMENT ACROSS MULTIPLE CLOUD STORAGE SITES

机译:云存储环境的数据对象存储和服务器,包括跨多个云存储站点的重复数据删除和数据管理

摘要

Data storage operations, including content-indexing, containerized deduplication, and policy-driven storage, are performed 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 are disclosed for content indexing data stored within a cloud environment to facilitate later searching, including collaborative searching. Methods are also disclosed for performing containerized deduplication to reduce the strain on a system namespace, effectuate cost savings, etc. Methods are disclosed for identifying suitable storage locations, including suitable cloud storage sites, for data files subject to a storage policy. Further, systems and methods for providing a cloud gateway and a scalable data object store within a cloud environment are disclosed, along with other features.
机译: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)在云环境中执行。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。公开了用于对存储在云环境中的数据进行索引的方法,以利于以后的搜索,包括协作搜索。还公开了用于执行容器化的重复数据删除以减轻对系统命名空间的负担,实现成本节省等的方法。公开了用于为受存储策略约束的数据文件识别合适的存储位置(包括合适的云存储站点)的方法。此外,公开了用于在云环境内提供云网关和可伸缩数据对象存储的系统和方法,以及其他特征。

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