Abstract :
Efficient data transfer in broadband networks is the anchor point of digital economy in modern era. One of
the most challenging issues for providing different services in broadband is the bandwidth allocation. That is a realtime
multi-dimensional problem solving requiring to satisfy QoS and SLA constraints at the same time. This problem
is economically defined as a utility optimization issue aiming to maximize user profits. In this paper, we present an
adaptive framework for the problem of optimal utility optimization of bandwidth allocation to broadband services. We
used first an online optimization for the allocation based on user preferences and Network Utility Maximization. Our
second solution is a particle swarm optimization method in order to consider both parameters at the same time to find
an optimal allocation pattern. Simulation results showed satisfactory bandwidth allocation patterns in different
scenarios according to the network utility and user preferences in SLA.
