DCD—disk caching disk: a new approach for boosting I/O performance
ISCA '96 Proceedings of the 23rd annual international symposium on Computer architecture
Soft updates: a solution to the metadata update problem in file systems
ACM Transactions on Computer Systems (TOCS)
Compiler-based I/O prefetching for out-of-core applications
ACM Transactions on Computer Systems (TOCS)
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Sequential PAttern mining using a bitmap representation
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A multi-version cache replacement and prefetching policy for hybrid data delivery environments
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Track-aligned extents: matching access patterns to disk drive characteristics
FAST'02 Proceedings of the 1st USENIX conference on File and storage technologies
Metadata efficiency in versioning file systems
FAST'03 Proceedings of the 2nd USENIX conference on File and storage technologies
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In the large network storage system, the operation of continuously reading discrete small blocks severely impacts the I/O performance. To solve this problem, this paper designs and implements a system prototype, which implements precise prefetch and regulates the data distribution according the small blocks correlations, mined by a novel heuristic algorithm between the file system and block device. The system performance can be improved evenly and continuously without interruption and sudden state transitions. Furthermore, compared with other algorithms, this heuristic algorithm thinks about both the locality and the globality of the correlations. Through the experiments, it has been proved that the prototype and the algorithm are effective and the system I/O performance can be enhanced distinctly. Furthermore, the prototype can be used universally by not modifying the file system and the storage devices.