T. J. Gibson and E. L. Miller. Long-Term File Activity Patterns in a UNIX Workstation Environment. In Proceedings of the 15th IEEE Symposium on Mass Storage Systems, pages 355--371, March 1998. Home/Search Document Details and Download
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Storage Embedded Networks (SEN) and Adaptive Caching Using Multiple .. - Ari (2003) (Correct)
....higher quality service for all. Sources of redundancy in the Internet include undetected packet retransmissions, client sharing and poor version management [74] The adverse effect of these redundancies will increase because of the increases in the number of mobile and wireless clients, file sizes [48] and percentage of dynamic objects. Exploiting any correlations and duplications between the requests is crucial. SEN devices are routers with embedded volatile (DRAM) and non volatile (MRAM [72] disk, MEMS [51] storage to be used for object caching via object snooping in trusted routers. ....
T. J. Gibson and E. L. Miller. Long-term file activity patterns in a UNIX workstation environment. In Proceedings of the 6th Goddard Conference on Mass Storage Systems and Technologies / 15th IEEE Symposium on Mass Storage Systems, pages 355--372, College Park, MD, Mar. 1998.
An Improved Long-Term File-Usage Prediction Algorithm - Gibson, Miller (1999) (1 citation) Self-citation (Gibson Miller) (Correct)
....about both daily and long term file activity. In addition to collecting file statistics, the analysis tools incorporate a file system simulator designed to test the effectiveness of different tertiary storage techniques. Many of these file system activity results have been reported earlier [8, 10, 12]. The findings can be summarized as follows: Normally less than 1 of all files on a file system are used every day, where used equates to being accessed, or modified; Files which are used have short inter access and inter modification times; 2 We also collected long term data at the U.S. ....
Timothy J. Gibson and Ethan L. Miller, "Long-Term File Activity Patterns in a UNIX Workstation Environment," Fifteenth IEEE Symposium on Mass Storage Systems, Greenbelt, MD, March 1998, pages 355--371.
Self-Similarity in File Systems - Gribble, Manku, Brewer, Gibson.. (1998) (17 citations) Self-citation (Gibson Miller) (Correct)
....minutes; all of these are missed. Despite these drawbacks, the long term traces provide a coarse grained look at file system activity. Postprocessing the trace files generated detailed long term statistics for file accesses, modifications, creations, deletions, and other high level file activity. [9] The U file system trace data is summarized in table 4. While the U data is disparate from the Sprite and NFS data, if file system traffic is truly self similar, then the U data should also be self similar. Showing that self similarity is present in both short term and long Trace ....
Gibson, T. J., and Miller, E. L. Long-Term File Activity Patterns in a UNIX Workstation Environment. In Proceedings of the Fifteenth IEEE Symposium on Mass Storage Systems (Greenbelt, MD, Mar 1998).
Indexing Time vs. Query Time Trade-offs in Dynamic.. - Büttcher, Clarke (Correct)
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T. J. Gibson and E. L. Miller. Long-Term File Activity Patterns in a UNIX Workstation Environment. In Proceedings of the 15th IEEE Symposium on Mass Storage Systems, pages 355--371, March 1998.
Analytic Performance Models of Robotic Storage Libraries: Status.. - Johnson (1998) (Correct)
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T. Gibson and E. Miller. Long-term file activity patterns in a unix workstation environment. In Proc. NASA Godddard Conf. on Mass Storage Systems and Technologies, 1998.
Storage Embedded Networks (SEN) and Adaptive Caching Using Multiple .. - Ari (2003) (Correct)
No context found.
T. J. Gibson and E. L. Miller. Long-term file activity patterns in a UNIX workstation environment. In Proceedings of the 6th Goddard Conference on Mass Storage Systems and Technologies / 15th IEEE Symposium on Mass Storage Systems, pages 355--372, College Park, MD, Mar. 1998.
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