{"id":348512,"date":"2017-01-07T14:00:16","date_gmt":"2017-01-07T22:00:16","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/?post_type=msr-research-item&#038;p=348512"},"modified":"2018-10-16T20:02:12","modified_gmt":"2018-10-17T03:02:12","slug":"taper-tiered-approach-eliminating-redundancy-replica-sychronization","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/taper-tiered-approach-eliminating-redundancy-replica-sychronization\/","title":{"rendered":"TAPER: Tiered Approach for Eliminating Redundancy in Replica Sychronization"},"content":{"rendered":"<p>We present TAPER, a scalable data replication protocol that synchronizes a large collection of data across multiple geographically distributed replica locations. TAPER can be applied to a broad range of systems, such as software distribution mirrors, content distribution networks, backup and recovery, and federated file systems. TAPER is designed to be bandwidth efficient, scalable and content-based, and it does not require prior knowledge of the replica state. To achieve these properties, TAPER provides: i) four pluggable redundancy elimination phases that balance the trade-off between bandwidth savings and computation overheads, ii) a hierarchical hash tree based directory pruning phase that quickly matches identical data from the granularity of directory trees to individual files, iii) a content-based similarity detection technique using Bloom filters to identify similar files, and iv) a combination of coarse-grained chunk matching with finer-grained block matches to achieve bandwidth efficiency. Through extensive experiments on various datasets, we observe that in comparison with rsync, a widely-used directory synchronization tool, TAPER reduces bandwidth by 15% to 71%, performs faster matching, and scales to a larger number of replicas.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present TAPER, a scalable data replication protocol that synchronizes a large collection of data across multiple geographically distributed replica locations. TAPER can be applied to a broad range of systems, such as software distribution mirrors, content distribution networks, backup and recovery, and federated file systems. TAPER is designed to be bandwidth efficient, scalable and [&hellip;]<\/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":"","msr-author-ordering":null,"msr_publishername":"USENIX","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"4th USENIX Conference on File and Storage Technologies (FAST '05)","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"4th USENIX Conference on File and Storage Technologies (FAST 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