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Optimal dynamic bandwidth allocation for complex networks

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TLDR
This paper proposes to dynamically allocate the total bandwidth resource of the network in which each link’s bandwidth is proportional to the queue length of the output buffer of the link per time step.
Abstract
Traffic capacity of one network strongly depends on the link’s bandwidth allocation strategy. In previous bandwidth allocation mechanisms, once one link’s bandwidth is allocated, it will be fixed throughout the overall traffic transmission process. However, the traffic load of every link changes from time to time. In this paper, with finite total bandwidth resource of the network, we propose to dynamically allocate the total bandwidth resource in which each link’s bandwidth is proportional to the queue length of the output buffer of the link per time step. With plenty of data packets in the network, the traffic handling ability of all links of the network achieves full utilization. The theoretical analysis and the extensive simulation results on complex networks are consistent. This work is valuable for network service providers to improve network performance or to do reasonable network design efficiently.

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Citations
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Journal ArticleDOI

Improving interdependent networks robustness by adding connectivity links

TL;DR: The simulation results show that, given the number of added links, link allocation strategies have great effects on the robustness of interdependent networks, i.e., the double-network link allocation strategy is superior to single-networklink allocation strategy.
Journal ArticleDOI

Traffic dynamics on two-layer complex networks with limited delivering capacity

TL;DR: A delivery capacity allocation strategy is introduced into the traffic dynamics on two-layer complex networks and its effect on the traffic capacity measured by the critical point Rc of phase transition from free flow to congestion is focused on.
Journal ArticleDOI

Effects of efficient edge rewiring strategies on network transport efficiency

TL;DR: It is found that the traffic capacity of the network can be substantially enhanced and the edge rewiring strategies are beneficial to the improvement of overall traffic handling and delivering ability of thenetwork, especially under the SP routing strategy.
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Optimal Output Synchronization Control of a Class of Complex Dynamical Networks With Partially Unknown System Dynamics

TL;DR: It is proved that the output synchronization errors converge to zero asymptotically by applying the optimal control laws.
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Enhancing traffic capacity of scale-free networks by employing hybrid routing strategy

TL;DR: A hybrid routing mechanism composed of the shortest path routing and the global dynamic routing strategy to improve the network traffic capacity is proposed and can be constitutionally supported on several networked complex systems such as the Internet and wireless ad hoc networks.
References
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Journal ArticleDOI

Collective dynamics of small-world networks

TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
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Emergence of Scaling in Random Networks

TL;DR: A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
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Scale-free networks are ultrasmall.

TL;DR: It is shown, using analytical arguments, that scale-free networks with 2
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Efficient routing on complex networks.

TL;DR: A generalized routing algorithm is given to find the so-called efficient path, which considers the possible congestion in the nodes along actual paths, to improve the transportation efficiency on complex networks.
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Onset of traffic congestion in complex networks

TL;DR: It is found that there is a critical rate of information generation, below which the network traffic is free but above which traffic congestion occurs, and this model may be practically useful for designing communication protocols.
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