{"id":346382,"date":"2017-01-04T11:57:49","date_gmt":"2017-01-04T19:57:49","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=346382"},"modified":"2018-10-16T19:55:30","modified_gmt":"2018-10-17T02:55:30","slug":"primary-data-deduplication-large-scale-study-system-design","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/primary-data-deduplication-large-scale-study-system-design\/","title":{"rendered":"Primary Data Deduplication – Large Scale Study and System Design"},"content":{"rendered":"
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We present a large scale study of primary data deduplication and use the findings to drive the design of a new primary data deduplication system implemented in the Windows Server 2012 operating system. File data was analyzed from 15 globally distributed file servers hosting data for over 2000 users in a large multinational corporation.<\/p>\n

The findings are used to arrive at a chunking and compression approach which maximizes deduplication savings while minimizing the generated metadata and producing a uniform chunk size distribution. Scaling of deduplication processing with data size is achieved using a RAM frugal chunk hash index and data partitioning – so that memory, CPU, and disk seek resources remain available to fulfill the primary workload of serving IO.<\/p>\n

We present the architecture of a new primary data deduplication system and evaluate the deduplication performance and chunking aspects of the system.<\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

We present a large scale study of primary data deduplication and use the findings to drive the design of a new primary data deduplication system implemented in the Windows Server 2012 operating system. File data was analyzed from 15 globally distributed file servers hosting data for over 2000 users in a large multinational corporation. 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