DEBAR: A scalable high-performance de-duplication storage system for backup and archiving
Tianming Yang, Hong Jiang, Dan Feng, Zhongying Niu, Ke Zhou, Yaping Wan · 2010
Driven by the increasing demand for large-scale and high-performance data protection, disk-based de-duplication storage has become a new research focus of the storage industry and research community where several new schemes have emerged recently. So far these systems are mainly inline de-duplication approaches, which are centralized and do not lend themselves easily to be extended to handle global de-duplication in a distributed environment. We present DEBAR, a de-duplication storage system designed to improve capacity, performance and scalability for de-duplication backup/archiving. DEBAR performs post-processing de-duplication, where backup streams are de-duplicated and cached on server-disks through an in-memory preliminary filter in phase I, and then completely de-duplicated in-batch in phase II. By decentralizing fingerprint lookup and update, DEBAR supports a cluster of servers to perform de-duplication backup in parallel, and is shown to scale linearly in both write throughput and physical capacity, achieving an aggregate throughput of 1.7GB/s and supporting a physical capacity of 2PB with 16 backup servers.