By Topic

Dynamic reconfiguration: Basic building blocks for autonomic computing on IBM pSeries servers

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Jann, J. ; IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598, USA ; Browning, L.M. ; Burugula, R.S.

A Logical Partition (LPAR) in an IBM pSeries™ Symmetric Multiprocessor (SMP) system is a subset of the hardware of the SMP that can host an OS instance. Dynamic Reconfiguration (DR) on these logically partitioned servers enables the movement of hardware resources (such as processors, memory, and I/O slots) from one logical partition to another without requiring reboots. This capability also enables an autonomic agent to monitor usage of the partitions and automatically move hardware resources to a needy OS instance non-disruptively. Nowadays, as SMPs and NUMA systems get larger and larger, the ability to run several instances of an Operating System[s] on a given hardware system, so that each OS instance plus its subsystems scale or perform well, provides the advantage of optimal aggregate performance, which can translate to cost savings for the customers. Though static partitioning provides a solution to this overall performance optimization problem, DR enables an improved solution by providing the capability to dynamically move hardware resources to a needy OS instance in a timely fashion to match the workload demands. Hence DR capabilities serve as key building blocks for workload managers to provide self-opimizing and self-configuring features. Besides dynamic resource balancing, DR also enables dynamic capacity upgrade on demand, and self-healing features such as dynamic CPU sparing, a winning solution for users in this age of rapid growth in Web servers on the Internet.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Systems Journal  (Volume:42 ,  Issue: 1 )