This paper presents a high-performance distributed storage solution for video surveillance data via analyzing the characteristics of video surveillance data and conventional file storage solutions. This design proposes a logical volume structure rather than file-based storage to efficiently organize unstructured video stream data. The scheme hence directly writes these stream data into raw disk devices, to address the problem of storage performance decrease caused by the random access and disk fragmentation in traditional storage systems. A two-stage index strategy is also implemented to manage metadata by the state manager and storage servers, which significantly reduces the amount of metadata managed by the state manager, eliminates the performance bottlenecks, and provides the second-level video retrieval accuracy. Moreover, the design has the salient features of fault tolerance and linear scaling abilities with the help of the flexible storage server grouping policy and the mutual backup relationship in a storage group. Experimental results show that the solution can simultaneously record 400 ways of 1080P video streams with a single low-cost PC server, and the system's average write speed is 2.5 times faster compared with the local file systems.