Classification of recovery targets to enable automated...

Error detection/correction and fault detection/recovery – Data processing system error or fault handling – Reliability and availability

Reexamination Certificate

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C714S005110

Reexamination Certificate

active

10881033

ABSTRACT:
In one embodiment, a recovery manager may define a plurality of recovery target sets. Each recovery target set comprises a recovery point target, a recovery time target, and at least one other property. The recovery manager also defines a plurality of recovery classes. Each recovery class comprises at least one recovery target set of the plurality of recovery target sets. Each recovery class describes recovery requirements over an asset state life cycle. The recovery manager applies a first recovery class of the plurality of recovery classes to a first asset dependent on an importance of the first asset to an owner of the first asset. In some cases, the first recovery class and/or other recovery classes of the plurality of recovery classes may each be applied to multiple assets. In another embodiment, a recovery manager defines one or more recovery target sets to be applied to one or more assets and saves the one or more recovery target sets. In some embodiments, recovery classes are also saved.

REFERENCES:
patent: 5734811 (1998-03-01), Croslin
patent: 5966730 (1999-10-01), Zulch
patent: 6170009 (2001-01-01), Mandal et al.
patent: 6295611 (2001-09-01), Connor et al.
patent: 6430703 (2002-08-01), Connor et al.
patent: 6459682 (2002-10-01), Ellesson et al.
patent: 6507561 (2003-01-01), Baniewicz et al.
patent: 6539462 (2003-03-01), Mikkelsen et al.
patent: 7032126 (2006-04-01), Zalewski et al.
patent: 7069401 (2006-06-01), Noonan et al.
patent: 7082463 (2006-07-01), Bradley et al.
patent: 7093162 (2006-08-01), Barga et al.
patent: 2002/0035706 (2002-03-01), Connor et al.
patent: 2002/0049912 (2002-04-01), Honjo et al.
patent: 2003/0005095 (2003-01-01), Fee
patent: 2003/0135609 (2003-07-01), Carlson et al.
patent: 2003/0225800 (2003-12-01), Kavuri
patent: 2003/0225801 (2003-12-01), Devarakonda et al.
patent: 2004/0078334 (2004-04-01), Malcolm et al.
patent: 2004/0243699 (2004-12-01), Koclanes et al.
patent: 2005/0039069 (2005-02-01), Prahlad et al.
patent: 2005/0066239 (2005-03-01), Keeton et al.
patent: 2005/0102547 (2005-05-01), Keeton et al.
patent: 2005/0262377 (2005-11-01), Sim-Tang
Office Action from U.S. Appl. No. 10/881,615, mailed Mar. 20, 2007.
IGG-03172004-01, C. Claunch, “Management Update: Best Practices in Business Continuity and Disaster Recovery,” Artivle Mar. 17, 2004, Gartner, Inc., 13 pages.
Strategic Planning, SPA-21-3174, R. Paquet, C. DiCenzo, “Predicts 2004: Recovery Replaces Backup and Replication,” Resaeach Note, Nov. 18, 2003, Gartner, Inc., 3 pages.
Dynamic Markets “Utility Computer: The CIO Squeeze?”, Independent Market Research Repot commissioned by VERITAS, Sep. 2003, 151 pages.
Office Action from U.S. Appl. No. 10/881,220 mailed Jun. 21, 2007.
Kimberly Keeton, et al., “Automating Data Dependability,” ACM-SIGOPS European Workship, Saint-Emilion, France, Sep. 2002, 8 pages.
Kimberly Keeton, et al., “Automatic Design of Dependable Data Storage Systems,” Jun. 2003, 6 pages.
Office Action from U.S. Appl. No. 10/881,615, mailed Sep. 24, 2007.

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