Efficient Processing of Policy Meta Data
Original Publication Date: 2003-Dec-15
Included in the Prior Art Database: 2003-Dec-15
Policies can be logically grouped for efficient storage, retrieval, and deployment. It is important to know statistics about the policies within each logical group. Examples include: 1) The number of policies within this group, 2) the overall status of the group such as draft, publish, deployed, 3) who last modified any policy within this group, and 4) when was the last modification was made to any policy within this group. To determine these statistics by examining each policy within the logical group is expensive, especially when there are very large numbers of policies. This publication discloses a process to efficiency handle this meta data.