In a dynamic computing environment, such as the Grid, resource
management plays a crucial role for making distributed resources
available on-demand to anyone from anywhere at any time without
undermining the resource autonomy; this becomes an art when dealing
with heterogeneous resources distributed under multiple trust
domains spanning across the Internet. Today Grid execution
environments provide abstract workflow descriptions that need a
dynamic mapping to actual deployments; this further accentuates the
importance of resource management in the Grid.
This monograph renders boundaries of the Grid resource
management, identifies research challenges and proposes new
solutions with innovative techniques for on-demand provisioning,
automatic deployments, dynamic synthesis, negotiation-based advance
reservation and capacity planning of Grid resources. The Grid
capacity planning is performed with multi-constrained optimized
resource allocations by modelling resource allocation as an on-line
strip packing problem and introducing a new solution that optimizes
resource utilization and QoS while generating contention-free
solutions.
On-demand resource provisioning becomes possible by simplifying
abstract resource descriptions independent from the concrete
installations. The book further explains the use of the semantic
web technologies in the Grid to specify explicit definitions and
unambiguous machine interpretable resource descriptions for
intelligent resource matching and synthesis; the synthesis process
generates new compound resources with aggregated capabilities and
prowess. The newly introduced techniques haven been developed and
integrated in ASKALON Grid application development and runtime
environment, deployed in the Austrian Grid, and demonstrated
through well performed experiments.
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