The design and implementation of a log-structured file system
ACM Transactions on Computer Systems (TOCS)
Improving the performance of log-structured file systems with adaptive methods
Proceedings of the sixteenth ACM symposium on Operating systems principles
File system logging versus clustering: a performance comparison
TCON'95 Proceedings of the USENIX 1995 Technical Conference Proceedings
Migrating server storage to SSDs: analysis of tradeoffs
Proceedings of the 4th ACM European conference on Computer systems
Lithium: virtual machine storage for the cloud
Proceedings of the 1st ACM symposium on Cloud computing
WOLF: a novel reordering write buffer to boost the performance of log-structured file systems
FAST'02 Proceedings of the 1st USENIX conference on File and storage technologies
The bleak future of NAND flash memory
FAST'12 Proceedings of the 10th USENIX conference on File and Storage Technologies
Runtime I/O re-routing + throttling on HPC storage
HotStorage'13 Proceedings of the 5th USENIX conference on Hot Topics in Storage and File Systems
Gecko: contention-oblivious disk arrays for cloud storage
FAST'13 Proceedings of the 11th USENIX conference on File and Storage Technologies
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Disk contention is a fact of life in modern data centers, with multiple applications sharing the storage resources of a single physical machine. Log-structured storage designs are ideally suited for such high-contention settings, but historically have suffered from performance problems due to cleaning overheads. In this paper, we introduce Gecko, a novel design for storage arrays where a single log structure is distributed across a chain of drives, physically separating the tail of the log (where writes occur) from its body. This design provides the benefits of logging - fast, sequential writes for any number of contending applications - while eliminating the disruptive effect of log cleaning activity on application I/O.