Resource management has a long history in computing, from the early days of time-shared machines with pioneering fundamental work on run-time systems, distributed systems, real-time operating systems and middleware. The longevity and fundamental importance of the topic has resulted in an incredibly large body of work for on-chip resource management in the past two decades. The possible combinations of sub-topics and variations in the assumptions, use of different terminology, metrics, goals, and use-cases, leaves anyone attempting to review the literature overwhelmed. On-Chip Dynamic Resource Management is the first comprehensive and coherent review of all aspects of on-chip run-time resource management designed to facilitate understanding of recent trends in dynamic and adaptive strategies. The authors provide the reader with a framework within which they can navigate both existing, as well as evolving research efforts in on-chip dynamic resource management. Written by leading experts in the field, researchers and students are provided a structured review and discussion of the state of the art that is divided along the primary objectives of resource management techniques: performance, power, reliability and quality of service.

The availability of many-core computing platforms enables a wide variety of technical solutions for systems across the embedded, high-performance and cloud computing domains. However, large scale manycore systems are notoriously hard to optimise. Choices regarding resource allocation alone can account for wide variability in timeliness and energy dissipation (up to several orders of magnitude). Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing covers dynamic resource allocation heuristics for manycore systems, aiming to provide appropriate guarantees on performance and energy efficiency. It addresses different types of systems, aiming to harmonise the approaches to dynamic allocation across the complete spectrum between systems with little flexibility and strict real-time guarantees all the way to highly dynamic systems with soft performance requirements. Technical topics presented in the book include: • Load and Resource Models• Admission Control• Feedback-based Allocation and Optimisation• Search-based Allocation Heuristics• Distributed Allocation based on Swarm Intelligence• Value-Based AllocationEach of the topics is illustrated with examples based on realistic computational platforms such as Network-on-Chip manycore processors, grids and private cloud environments.