Energy Efficient Minimum Spanning Tree in OpenFlow Networks

Prete, Luca; Farina, Fabio; Campanella, M.; Biancini, Andrea

doi:10.1109/ewsdn.2012.9

Cited by 21 publications

(10 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, SDN can also provide efficiency in lower layers. As an example, authors in [61] propose a controller that makes use of Layer 2 protocols to reduce the energy consumption. Main goal of the proposed scheme is to prevent connections that cause loops between OpenFlow-enabled elements.…”

Section: Different Types Of Energy-aware Sdn Approachesmentioning

confidence: 99%

See 1 more Smart Citation

A survey on energy efficiency in software defined networks

Tüysüz

Ankarali²,

Gzpek

2017

Computer Networks

View full text Add to dashboard Cite

Section: Different Types Of Energy-aware Sdn Approachesmentioning

confidence: 99%

“…Accordingly, the proposed SDN controller approach [61] that mostly makes use of Layer 2 protocols may assist avoiding loops in-between connections. However, in the proposed scheme, com-putation time increases faster than the number of links between devices, which can be a problem in large networks.…”

Section: Different Types Of Energy-aware Sdn Approachesmentioning

confidence: 99%

A survey on energy efficiency in software defined networks

Tüysüz

Ankarali²,

Gzpek

2017

Computer Networks

View full text Add to dashboard Cite

“…Kakadia et al [8] proposed a SDN based method for the fat tree topology to incrementally calculate the network devices required to support the current load. Preter et al [9] presented a spanning tree based algorithm in the SDN paradigm to reduce the network electric energy consumption. Both the fat tree topology and the spanning tree based approaches suffer from the blocking of a server-to-server communications problem at high traffic, rendering the system inefficient for handling the increasing level of east-west network traffic inside of a data center.…”

Section: Energy Saving Approaches In Datacentersmentioning

confidence: 99%

Green spine switch management for datacenter networks

Lung

Majumdar

2016

J Cloud Comp

View full text Add to dashboard Cite

Energy consumption for datacenter has grown significantly and the trend is still growing due to the increasing popularity of cloud computing. Datacenter networks (DCNs), however, are starting to consume a greater portion of overall energy in comparison to servers used in datacenters due to advanced virtualization techniques. On the other hand, devices in a DCN often remain under-utilized. There are various DCN architectures. This paper proposes an approach called Green Spine Switch Management System (GSSMS) for Spine-Leaf topology based DCNs. The objective of the approach is to reduce energy consumption used by the network for a Spine-Leaf topology-based datacenter. The primary idea of GSSMS is to monitor the dynamic workload and only keep Spine switches that are necessary for handling the current network traffic. We have developed an adaptive management system to control the number of Spine switches in a Spine-Leaf DCN for efficient energy consumption. Further, we have performed extensive simulation using CloudSim for a number of scenarios. The simulation results demonstrate that our proposed GSSMS can effectively save energy by as much as 63 % of the energy consumed by a datacenter comprising a fixed static set of Spine switches.

show abstract

“…And the traffic transmitted in the network should be blocked. Therefore, in order to avoid long convergence time as well as traffic interruption, the network generally does not change the STP structure which is calculated in the network initial stage [1], [2].…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Method of Constructing MST Based on OpenFlow Protocol

Liu¹,

Li²,

Yang³

2016

IJCCE

View full text Add to dashboard Cite

Abstract:The MST algorithm has the disadvantage of slow convergence and low resource utilization in the traditional two layer network. The forwarding topology cannot be adjusted in real time to realize the load balance of the whole network. In the SDN architecture, a dynamic construction method for MST based on OpenFlow is proposed in this paper. The controller can adjust no-loop forwarding topology of the underlying network dynamiclly based on the current network traffic distribution to achieve the whole network load balancing. Through simulation, the whole network traffic distribution is more balanced after the topology adjustment, and the index of delay jitter and packet loss ratio has greatly improved.

show abstract

Energy Efficient Minimum Spanning Tree in OpenFlow Networks

Cited by 21 publications

References 7 publications

A survey on energy efficiency in software defined networks

A survey on energy efficiency in software defined networks

Green spine switch management for datacenter networks

A Dynamic Method of Constructing MST Based on OpenFlow Protocol

Contact Info

Product

Resources

About