System and Method for Content-based Object Ranking to Facilitate Information Lifecycle Management

• US 20080161885A1
• Filed: 12/28/2006
• Published: 07/03/2008
• Est. Priority Date: 12/28/2006
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Hsu, Windsor Wee Sun, Ong, Shauchi
• Granted Patent: US 7,996,409 B2
• Time in Patent Office: Days
• US Class Current: 607/60
• CPC Class Codes: G06F 3/061 Improving I/O performance
• CPC Class Codes: G06F 3/0617 in relation to availability
• CPC Class Codes: G06F 3/0649 Lifecycle management
• CPC Class Codes: G06F 3/0685 Hybrid storage combining heterogeneous device types, e.g. hierarchical storage, hybrid arrays

Abstract

A method to manage objects in an information lifecycle management system is provided. The method includes determining a score for each of the objects based on a score of at least one feature within respective ones of each of the objects where the score of the at least one feature being associated with a valuation of the at least one feature. The method also includes managing each of the objects based on the score for each of the objects wherein higher scored objects are managed preferentially.

Claims

1. A method to manage objects in an information lifecycle management system, comprising:

determining a score for each of the objects based on a score of at least one feature within respective ones of each of the objects, the score of the at least one feature being associated with a valuation of the at least one feature; and

managing each of the objects based on the score for each of the objects wherein higher scored objects are managed preferentially, wherein the determining a score for each of the objects includes;

determining a first set of statistics for each of the at least one feature based on information content associated with respective ones of each of the objects;

determining a second set of statistics for each of the at least one feature based on information content associated with a population of objects;

determining the score for each feature based on the first set of statistics and the second set of statistics;

determining the score for each of the objects based on the score for each feature in respective ones of each of the objects; and

determining a score for each of the objects based on a score of at least one feature within each of the objects includes summing a predetermined number of top scores of features in each of the objects.

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