Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
2006-07-25
2006-07-25
Channavajjala, Srirama (Department: 2166)
Data processing: database and file management or data structures
Database design
Data structure types
C707S793000, C711S162000
Reexamination Certificate
active
07082441
ABSTRACT:
A method for storage and manipulation of storage system metrics incorporates a self-describing format wherein each data file includes a header block that contains the description and order of the periodic data. The header block is followed by a data block in which the data items are presented in the order that they appear in the data description block for that category. Two types of data are managed, including Base Metrics and Derived Metrics. Base Metrics are metrics that appear in the data file sent by an agent. Derived Metrics are computed based on a set of functions that derive new metrics from the base metrics as well as from previously defined derived metrics. A subset of the data block or file describes the configuration of the storage system at the time that the data file was created. Thus the data file contains a header section that in addition to describing the metrics also describes the configuration. A performance view component a user interface that facilitates access to the archives, and data manipulation effecting enhanced performance analysis, workload characterization and capacity planning. The performance view component facilitates generation of factory and user defined views of monitored metrics/parameters. Metrics from a storage system can be correlated using the performance view features, and parameters across machines can be correlated as well. System configuration(s) can be viewed and changed via the performance view user interface.
REFERENCES:
patent: 5435004 (1995-07-01), Cox et al.
patent: 5471604 (1995-11-01), Hasbun et al.
patent: 5671350 (1997-09-01), Wood
patent: 5684945 (1997-11-01), Chen et al.
patent: 5764972 (1998-06-01), Crouse et al.
patent: 5860069 (1999-01-01), Wright
patent: 5897661 (1999-04-01), Baranovsky et al.
patent: 5959860 (1999-09-01), Styczinski
patent: 5963943 (1999-10-01), Cummins et al.
patent: 5991776 (1999-11-01), Bennett et al.
patent: 6031683 (2000-02-01), Iverson et al.
patent: 6055493 (2000-04-01), Ries et al.
patent: 6112194 (2000-08-01), Bigus
patent: 6122685 (2000-09-01), Bachmat
patent: 6128628 (2000-10-01), Waclawski et al.
patent: 6134630 (2000-10-01), McDonald et al.
patent: 6154877 (2000-11-01), Ramkumar et al.
patent: 6269401 (2001-07-01), Fletcher et al.
patent: 6330570 (2001-12-01), Crighton
patent: 6384599 (2002-05-01), Chan et al.
patent: 6405284 (2002-06-01), Bridge
patent: 6510463 (2003-01-01), Farhat et al.
patent: 6513093 (2003-01-01), Chen et al.
patent: 6560647 (2003-05-01), Hafez et al.
patent: 6571354 (2003-05-01), Parks et al.
patent: 6691067 (2004-02-01), Ding et al.
patent: 6732000 (2004-05-01), Tseng et al.
patent: 6782421 (2004-08-01), Soles et al.
patent: 6826575 (2004-11-01), Waclawski
patent: 6889255 (2005-05-01), DeLuca
patent: 2001/0054133 (2001-12-01), Murotani et al.
patent: 2002/0065833 (2002-05-01), Litvin
patent: 2003/0065763 (2003-04-01), Swildens et al.
patent: WO 2004/068872 (2004-08-01), None
Odysseas et al., “Analytical performance modeling of Hierarchical mass storage systems”, IEEE transactions on computers, v 46, No. 10, published on Oct. 1997, pp. 1103-1118.
Peter M. Chen, RAID: High performance, reliable secondary storage, ACM computing surveys, 1994, pp. 1-66.
Xubin He et al. “Architecture and performance potential of STICS”, pp. 1-18.
BMC software, Inc.Performance management for distributed systems, BEST/1, pp. 1-12, dated Jan. 1999.
Thomas M Ruwart, “Disk subsystem performance evaluation: From disk drives to storage area networks”, 17thIEEE symposium on mass storage systems, 8thNASA goddard conference on mass storage systems and technologies, 2000, pp. 1-23.
Gniewek,J et al. “Performance benchmark results for automated tape Library high retrieval rate applications: digital check imag retrievals”, Mass storage systems, 16thIEEE symposium, Mar. 1999, pp. 234-240.
Theodore Johnson, Performance measurements of robotic storage libraries, Proc. 24thint.conf. very large data bases, VLDB, 1998, 18 pages.
Bill Anderson, “mass storage system performance prediction using a trace-driven simulator”, proceedins of the 22ndIEEE/13thNASA Goddard conference on Mass storage systems and technologies 2005, 10 pages.
Robin Schumacher, “managing SQL server performance with embarcadero perfromance analyst”, Apr. 15, 2004, 12 pages.
Kovacs, T. “Performance and population state metrics for rule-based systems”, Evolutionary computation, 2002,CEC'02 proceedings, May 2002, vol. 2, pp. 1781-1786.
Ismail Ari et al. “SANBoost: Automated SAN-Level caching in storage area networks”, proceedings of the international conference on autonomic computing (ICAC'04), 8 pages.
Peter M Chen et al. “storage performance-Metrics and Benchmarks”, proceedings of the IEEE, vol. 81, No. 8, Aug. 1993, pp. 1151-1165.
EMC Corporation, “EMC ControlCenter Workload Analyzer Product Guide,” Version 4.3, pp. 1-240 (Jun. 2001).
Arnan Ron
Sapiro Lee W.
Thammavong Saymai
Zahavi William
Brown Rudnick Berlack & Israels LLP
Channavajjala Srirama
EMC Corporation
Michaelis, Esq. Brian L.
Quinn, Esq. Joseph P.
LandOfFree
Method and storage and manipulation of storage system metrics does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method and storage and manipulation of storage system metrics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and storage and manipulation of storage system metrics will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3600069