A proactive, resilient and self-tuning memory management system and method that
result in actual and perceived performance improvements in memory management, by
loading and maintaining data that is likely to be needed into memory, before the
data is actually needed. The system includes mechanisms directed towards historical
memory usage monitoring, memory usage analysis, refreshing memory with highly-valued
(e.g., highly utilized) pages, I/O pre-fetching efficiency, and aggressive disk
management. Based on the memory usage information, pages are prioritized with relative
values, and mechanisms work to pre-fetch and/or maintain the more valuable pages
in memory. Pages are pre-fetched and maintained in a prioritized standby page set
that includes a number of subsets, by which more valuable pages remain in memory
over less valuable pages. Valuable data that is paged out may be automatically
brought back, in a resilient manner. Benefits include significantly reducing or
even eliminating disk I/O due to memory page faults.
