Invention Grant
US09305011B2 Method for improving mean time to data loss (MTDL) in a fixed content distributed data storage
有权
在固定内容分布式数据存储中提高平均数据丢失时间(MTDL)的方法
- Patent Title: Method for improving mean time to data loss (MTDL) in a fixed content distributed data storage
- Patent Title (中): 在固定内容分布式数据存储中提高平均数据丢失时间(MTDL)的方法
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Application No.: US11675224Application Date: 2007-02-15
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Publication No.: US09305011B2Publication Date: 2016-04-05
- Inventor: Robert S. Mason, Jr.
- Applicant: Robert S. Mason, Jr.
- Applicant Address: US CA Santa Clara
- Assignee: HITACHI DATA SYSTEMS CORPORATION
- Current Assignee: HITACHI DATA SYSTEMS CORPORATION
- Current Assignee Address: US CA Santa Clara
- Agency: Mattingly & Malur, P.C.
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
An archival storage cluster of preferably symmetric nodes includes a data protection management system that periodically organizes the then-available nodes into one or more protection sets, with each set comprising a set of n nodes, where “n” refers to a configurable “data protection level” (DPL). At the time of its creation, a given protection set is closed in the sense that each then available node is a member of one, and only one, protection set. When an object is to be stored within the archive, the data protection management system stores the object in a given node of a given protection set and then constrains the distribution of copies of that object to other nodes within the given protection set. As a consequence, all DPL copies of an object are all stored within the same protection set, and only that protection set. This scheme significantly improves MTDL for the cluster as a whole, as the data can only be lost if multiple failures occur within nodes of a given protection set. This is far more unlikely than failures occurring across any random distribution of nodes within the cluster.
Public/Granted literature
- US20070189153A1 Method for improving mean time to data loss (MTDL) in a fixed content distributed data storage Public/Granted day:2007-08-16
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