{"id":151934,"date":"2005-12-01T00:00:00","date_gmt":"2005-12-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/bitvault-a-highly-reliable-distributed-data-retention-platform\/"},"modified":"2018-10-16T21:51:57","modified_gmt":"2018-10-17T04:51:57","slug":"bitvault-a-highly-reliable-distributed-data-retention-platform","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/bitvault-a-highly-reliable-distributed-data-retention-platform\/","title":{"rendered":"BitVault: a Highly Reliable Distributed Data Retention Platform"},"content":{"rendered":"
\n

In this paper, we report the design and implementation of the storage layer of BitVault: a content-addressable retention platform for large volume of reference data \u2013 seldom-changing information that needs to be retained for a long period of time. BitVault uses \u201csmart brick\u201d as the building block to lower the hardware cost. However, the challenges are to maintain low management cost in a system that needs to scale all the way from one brick to tens of thousands of bricks, to ensure reliability and to deliver with a simple enough design. Our design incorporates P2P technologies for its self-managing and self-healing capabilities and uses massively parallel repair to reduce vulnerability window of data loss. The simplicity of the architecture relies on an eventu-ally reliable membership service provided by a perfect one-hop DHT (distributed hash table), and its object-driven repair model yields last-copy recall guarantee: independent of how many other failures that may occur and their sequences, as long as the last copy of a data object still remains in the system, the data can be retrieved and its replication degree fully restored. A proto-type has been implemented. Theoretical analysis, simulations and experiments are conducted to validate the design of BitVault.<\/p>\n<\/div>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

In this paper, we report the design and implementation of the storage layer of BitVault: a content-addressable retention platform for large volume of reference data \u2013 seldom-changing information that needs to be retained for a long period of time. BitVault uses \u201csmart brick\u201d as the building block to lower the hardware cost. However, the challenges […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13563],"msr-publication-type":[193718],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-151934","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-data-platform-analytics","msr-locale-en_us"],"msr_publishername":"Association for Computing Machinery, 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