Backup data mechanism with fuzzy logic

Electrical computers and digital processing systems: memory – Storage accessing and control – Control technique

Reexamination Certificate

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Details

C711S162000, C707S793000

Reexamination Certificate

active

07082505

ABSTRACT:
A data archiving controller automatically determines a whether a main storage devices has usage ratio in excess of a maximum limit and if an archiving or backing storage device has sufficient directory space to accept files from the main storage devices. The data archiving controller then determines using fuzzy logic the number of files to be transferred from the main storage devices to the backing storage devices. The data archiving controller has a set allocating apparatus in communication with the main storage device and the backing storage devices to receive retention device usage parameters for classification within classification sets. A membership rules retaining device contains the classification parameter defining rules by which the retention device usage parameters are assigned to the classification sets. The archiving controller has a rule evaluation apparatus for determining a quantity of data to be archived. The quantity of data to be archived is based on evaluation rules determined by the classification sets. A data designation apparatus designates the number of files to be archived and then designates the files to be transferred between the main storage device and backing storage devices.

REFERENCES:
patent: 6163773 (2000-12-01), Kishi
patent: 2003/0177149 (2003-09-01), Coombs
“Adaptive Disk Striping for Parallel Input/Output,” Simitci et al., 16th IEEE Symposium on Storage Systems, 1999, Mar. 1999, San Diego, CA, pp. 88-102 (1-15).
“Xmas: An Extensible Main-Memory Storage System for High-Performance Applications,” Park et al., Proceedings of ACM Sigmod Conference, pp. 578-580, Jun. 1998.
“High Speed On-Line Backup When Using Logical Log Operations,” Lomet et al., Proceedings of ACM Sigmod Conference, Dallas, TX, May 2000.
“SUMPY: A Fuzzy Software Agent,” Song et al., Proceedings of the ISCA Conference on Intelligent Systems, Reno Nevada, Jun. 1996, pp. 1-11.

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