Resource Allocation (RA) is used to organize the usage of network's
physical resources in such a way that guarantees optimal
utilization while providing predictive performance to network flows
in terms of inter-flow fairness and guaranteed Quality of Service
(QoS). One approach to provide RA which is particularly suitable
for traffic flows with relaxed QoS requirements (i.e. elastic
traffic) is the Utility- based Resource Allocation (URA). URA
assigns a utility function to each individual user flow to measure
the degree of satisfaction of this user as a result of assigning a
specific share of resources. The objective of the URA techniques is
then to partition the network resources to take full advantage of
them in satisfying the QoS requirements of each user flow while
providing fair allocation of resource among users by maximizing the
aggregate utility of all flows. The objective of this work is to
propose a comprehensive set of algorithms that can be used to
provide resource optimization both on the link level or on the
network level.
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