T. J. Gibson, E. L. Miller, and D. D. E. Long. Long-term file activity and inter-reference patterns. In Proceedings of the 24th International Conference on Technology Management and Performance Evaluation of Enterprise-Wide Information Systems, pages 976--987, Anaheim, CA, Dec. 1998. Computer Measurement Group. Home/Search Document Details and Download
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Venti: A New Approach to Archival Storage - Quinlan, Dorward (2002) (44 citations) (Correct)
....applications with no change to the Venti server. A more detailed analysis of the decade of daily snapshots of the Plan 9 file systems might be interesting. The trace data we have made publicly available contains approximately the same information used for other studies of long term file activity [4]. 10. Conclusion The approach of identifying a block by the Sha1 hash of its contents is well suited to archival storage. The writeonce model and the ability to coalesce duplicate copies of a block makes Venti a useful building block for a number of interesting storage applications. The large ....
Timothy J. Gibson, Ethan L. Miller, and Darrell D. E. Long. Long-term file activity and interreference patterns. In Proceedings, 24 International Conference on Technology Management and Performance Evaluation of Enterprise-Wide Information Systems, Computer Measurement Group, December 1998.
Evaluating Backup Algorithms - Kurmas, Chervenak (Correct)
....backup scheme used by many programs, including UNIX dump, which we call the level scheme, and a new algorithm we developed which we call the Z scheme [6, 1] To evaluate these backup algorithms, we wrote a trace driven backup simulator. Inputs to this simulator include traces made by Tim Gibson [4] as well as traces of backup activity collected in the College of Computing at Georgia Tech. Our simulation results evaluate the performance of the full backup, pure incremental, level, and Z schemes. As expected, our results show that the full backup algorithm has poor backup performance but ....
....tape drive to estimate the seek time to access a particular file [5] Metrics for evaluating the algorithms include the time to perform backup and restore operations and the amount of tape media required for backup. In this paper, we present simulation results that use Gibson s traces as input [4]. Gibson s traces include a set of files for each day observed. Each trace file contains the name, size, owner, group, inode, access time, modification time, and change time of each file on the traced file system on a given day. 3 Backup Algorithms We now describe the backup algorithms that we ....
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T. Gibson, E. L. Miller, , and D. D. E. Long. Long-term File Activity and InterReference Patterns. In CMG98 Proceedings. Computer Measurement Group, December 1998.
Anonymization Techniques for URLs and Filenames - Kuenning, Miller (2003) Self-citation (Miller) (Correct)
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T. J. Gibson, E. L. Miller, and D. D. E. Long. Long-term file activity and inter-reference patterns. In Proceedings of the 24th International Conference on Technology Management and Performance Evaluation of Enterprise-Wide Information Systems, pages 976--987, Anaheim, CA, Dec. 1998. Computer Measurement Group.
An Improved Long-Term File-Usage Prediction Algorithm - Gibson, Miller (1999) (1 citation) Self-citation (Gibson Miller Long) (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, Ethan L. Miller, and Darrell D. E. Long, "Long-term File Activity and Inter-Reference Patterns," CMG98 Proceedings, 24th International Conference on Technology Management and Performance Evaluation of Enterprise-Wide Information Systems, Computer Measurement Group, Anaheim, CA, December 1998, pages 976--987.
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