2015
DOI: 10.1049/iet-net.2014.0049
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Reducing the power consumption of hose‐model networks with bundled links

Abstract: Given the exponential growth in telecommunication networks, more and more attention is being paid to their share in the global energy consumption. Reducing networks' power consumption has become a major concern. However, the often overprovisioned wired core network is still overlooked. In core networks, pairs of routers are typically connected by multiple physical cables that form one logical bundled link participating in the intra-domain routing protocol. To reduce the energy consumption of core networks with… Show more

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Cited by 7 publications
(4 citation statements)
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“…Two sets of work mentioned above carried out their research on the green routing and network planning without adopting the link aggregation technique in networks, that is, their energy-saving investigations are all on the basis of nonbundled links. In recent years, the third set of works [25][26][27][28] have been devoted to concern the green routing and network planning problems in the network with the bundled links. In [25], the authors proposed the problem to reach a better tradeoff between energy-saving performance and congestion risk by setting different value combinations of two parameters: the utilization threshold and sublink-adding strategy, and then developed a dynamic and hybrid local heuristic threshold-based algorithm to solve it.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Two sets of work mentioned above carried out their research on the green routing and network planning without adopting the link aggregation technique in networks, that is, their energy-saving investigations are all on the basis of nonbundled links. In recent years, the third set of works [25][26][27][28] have been devoted to concern the green routing and network planning problems in the network with the bundled links. In [25], the authors proposed the problem to reach a better tradeoff between energy-saving performance and congestion risk by setting different value combinations of two parameters: the utilization threshold and sublink-adding strategy, and then developed a dynamic and hybrid local heuristic threshold-based algorithm to solve it.…”
Section: Related Workmentioning
confidence: 99%
“…[27] proposed a network-level green energy-saving mechanism over the backbone networks, that is, a smallest remaining capacity first based green routing algorithm is used to plan the global routing paths in the networks in a global view, which makes the number of the bundled links powered minimum, and further a green-best fit deceasing algorithm is used to gather traffic loads flowing through a bundled link to the smallest set of physical links in the local view, which enables the physical links powered off as much as possible. To reduce the energy consumption of core networks with bundled cables, the authors in [28] proposed a scheme to deactivate the maximum possible number of cables, and associated equipment, while considering hose-model traffic, and then introduced a mixed integer linear problem formulation that yields the optimal solution and a more practical and near optimal heuristic algorithm for large networks.…”
Section: Related Workmentioning
confidence: 99%
“…In contrast to the pipe model, 10 the hose model does not require the exact knowledge of traffic-demand matrix, bounding traffic with total egress and ingress amount at each node. 11,12 Ba et al 11 presented a scheme to deactivate the maximum possible number of cables and associated equipment considering the hose model traffic in order to reduce the energy consumption of core networks with bundled cables. It is known by numerical experiments that the G. Hose model is so conservative that the total power saving derived is by far smaller than that by the G. Pipe model.…”
Section: Introductionmentioning
confidence: 99%
“…There are also some studies on the hose model. 11,12 Ba et al 11 presented a scheme to deactivate the maximum possible number of cables and associated equipment considering the hose model traffic in order to reduce the energy consumption of core networks with bundled cables. Ranaweera et al 12 presented a preventive start-time optimization (PSO) policy for the hose model to optimize the link weights against link failures in open shortest path first networks.…”
mentioning
confidence: 99%