The dawning of the autonomic computing era
IBM Systems Journal
Autonomic Web-Based Simulation
ANSS '05 Proceedings of the 38th annual Symposium on Simulation
Autonomic computing: emerging trends and open problems
DEAS '05 Proceedings of the 2005 workshop on Design and evolution of autonomic application software
Dynamic reconfiguration of CPU and WebSphere on IBM pSeries servers
Software—Practice & Experience
HANet: a framework toward ultimately reliable network services
Journal of Systems and Software
Systems research challenges: a scale-out perspective
IBM Journal of Research and Development
Virtual hierarchies to support server consolidation
Proceedings of the 34th annual international symposium on Computer architecture
Network Virtualization: Breaking the Performance Barrier
Queue - Virtualization
Protection strategies for direct access to virtualized I/O devices
ATC'08 USENIX 2008 Annual Technical Conference on Annual Technical Conference
Resource pool management: Reactive versus proactive or let's be friends
Computer Networks: The International Journal of Computer and Telecommunications Networking
Adaptive job routing and scheduling
Engineering Applications of Artificial Intelligence
Improving grid service's QoS through self-configuring regulation
Engineering Applications of Artificial Intelligence
Tessellation: space-time partitioning in a manycore client OS
HotPar'09 Proceedings of the First USENIX conference on Hot topics in parallelism
Improving architecture-based self-adaptation using preemption
SOAR'09 Proceedings of the First international conference on Self-organizing architectures
Autonomic and trusted computing paradigms
ATC'06 Proceedings of the Third international conference on Autonomic and Trusted Computing
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A logical partition in an IBM pSeriesTM symmetric multiprocessor (SMP) system is a subset of the hardware of the SMP that can host an operating system (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 nondisruptively. Today, as SMPs and nonuniform memory access (NUMA) systems become 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, has the advantage of an optimal aggregate performance, which can translate into cost savings for 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 workload demands. Hence, DR capabilities serve as key building blocks for workload managers to provide self-optimizing 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.