International Business Machines Corporation

Ronald Dean Young

Mark Robert Funk

Randal Craig Swanberg

Vaijayanthimala K Anand

Mysore Sathyanaranyana Srinivas

Steven R Kunkel

Earl Walter Emerick

Lonny R Olson-Williams

Paul William Wertzler

Kurt Clifford Thompson

Van Dee Sammons

Vernon R Pahl

Acceptable memory allocation for a partition is determined during and with minimal impact on normal operation of the partitioned system. The approach includes: collecting, by a processor, statistics on a rate at which pages are transferred between uncompressed and compressed memory spaces of the partition's memory; adjusting size of the uncompressed memory space; and subsequent to the adjusting, continuing with collecting of the statistics, and referencing the resultant statistics in determining an acceptable memory allocation for the partition. In one implementation, the adjusting includes stepwise decreasing size of the uncompressed memory space by reallocating uncompressed memory space to compressed memory space, and repeating the collecting of statistics for a defined measurement period for each adjusted uncompressed memory space size until performance of the partition is negatively impacted by the reallocation of uncompressed memory space to compressed memory space.

Adjusting memory allocation of a partition using compressed memory paging statistics

In a NUMA-topology computer system that includes multiple nodes and multiple logical partitions, some of which may be dedicated and others of which are shared, NUMA optimizations are enabled in shared logical partitions. This is done by specifying a home node parameter in each virtual processor assigned to a logical partition. When a task is created by an operating system in a shared logical partition, a home node is assigned to the task, and the operating system attempts to assign the task to a virtual processor that has a home node that matches the home node for the task. The partition manager then attempts to assign virtual processors to their corresponding home nodes. If this can be done, NUMA optimizations may be performed without the risk of reducing the performance of the shared logical partition.

Non-uniform memory access (NUMA) enhancements for shared logical partitions

Embodiments of the present invention provide an integrated methodology that simplifies upgrade choices for complex computer products through the use of automation and integration of product monitoring and business applications with, for example, web based capabilities. Historical information for computer systems is collected and transmitted to a remote support system. Over time, sufficient historical data provides a historical view of the systems indicative of usage and facilitating the choice of product enhancements, upgrades and customization. Further, this historical view may be integrated with the advances in the product that are kept by the remote support system as well as with the performance requirements of third party application providers.

Method and apparatus upgrade assistance using critical historical product information

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Zumbrota, MN, United States of America

Ronald Dean Young