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.
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