May 17, 2021 · A port-based forwarding load-balancing scheduling approach for cloud datacenter networks.
The experiment results indicate that our PFLBS approach has better performance compared with the methods ECMP and Hedera and decreases the flow completion time ...
A significant part of an end-to-end delay of a data flow is latency-the delay induced by scheduling algorithms in network devices. In this paper we present a ...
In this paper, an heuristic approach to schedule real-time flows in data-centers is proposed, optimizing the temporal requirements while reducing the energy ...
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To balance traffic in a SDN networks, we design an algorithm to dynamically reschedule data flows in terms of current link utilization ratio. Experiment results ...
Apr 1, 2021 · We propose a distributed sampling technique which sends a portion of the packets to the controller. Furthermore, Sieve polls the edge switches ...
Abstract—Power-efficient Data Center Networks (DCNs) have been proposed to save power of DCNs using OpenFlow. In these.
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Nov 14, 2022 · ABSTRACT. This paper discusses why flow scheduling does not apply to distributed deep learning training and presents EchelonFlow,.
This paper proposes an approach to detect large flows ... Hedera: Dynamic Flow Scheduling for Data Center Networks ... efficiently utilize aggregate network ...
Flow scheduling is an effective scheme for low latency data center network (DCN) transport design [7, 10, 24,. 41, 27, 37, 33]. One of the most important goals ...