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.
