Ordermergededup: Efficient, Failure-Consistent Deduplication On Flash

Flash storage is commonplace on mobile devices, sensors, and cloud servers. I/O deduplication is beneficial for saving the storage space and reducing expensive Flash writes. This paper presents a new approach, called OrderMergeDedup, that deduplicates storage writes while realizing failure-consistency, efficiency, and persistence at the same time. We devise a soft updates-style metadata write ordering that maintains storage data consistency without consistency-induced additional I/O. We further explore opportunities of I/O delay and merging to reduce the metadata I/O writes. We evaluate our Linux device mapper-based implementation using several mobile and server workloads-package installation and update, BBench web browsing, vehicle counting, Hadoop, and Yahoo Cloud Serving Benchmark. Results show that OrderMergeDedup can realize 18-63% write reduction on workloads that exhibit 2373% write content duplication. It has significantly less metadata write overhead than alternative I/O shadowing-based deduplication. Our approach has a slight impact on the application latency and may even improve the performance due to reduced I/O load.