6,254 research outputs found
Implementing energy saving algorithms for Ethernet link aggregates with ONOS
During the last few years, there has been plenty of research for reducing
energy consumption in telecommunication infrastructure. However, many of the
proposals remain unim-plemented due to the lack of flexibility in legacy
networks. In this paper we demonstrate how the software defined networking
(SDN) capabilities of current networking equipment can be used to implement
some of these energy saving algorithms. In particular, we developed an ONOS
application to realize an energy-aware traffic scheduler to a bundle link made
up of Energy Efficient Ethernet (EEE) links between two SDN switches. We show
how our application is able to dynamically adapt to the traffic characteristics
and save energy by concentrating the traffic on as few ports as possible. This
way, unused ports remain in Low Power Idle (LPI) state most of the time, saving
energy.Comment: 8 pages, 10 figure
Towards Optimal Distributed Node Scheduling in a Multihop Wireless Network through Local Voting
In a multihop wireless network, it is crucial but challenging to schedule
transmissions in an efficient and fair manner. In this paper, a novel
distributed node scheduling algorithm, called Local Voting, is proposed. This
algorithm tries to semi-equalize the load (defined as the ratio of the queue
length over the number of allocated slots) through slot reallocation based on
local information exchange. The algorithm stems from the finding that the
shortest delivery time or delay is obtained when the load is semi-equalized
throughout the network. In addition, we prove that, with Local Voting, the
network system converges asymptotically towards the optimal scheduling.
Moreover, through extensive simulations, the performance of Local Voting is
further investigated in comparison with several representative scheduling
algorithms from the literature. Simulation results show that the proposed
algorithm achieves better performance than the other distributed algorithms in
terms of average delay, maximum delay, and fairness. Despite being distributed,
the performance of Local Voting is also found to be very close to a centralized
algorithm that is deemed to have the optimal performance
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