2014 IEEE International Conference on Communications (ICC) 2014
DOI: 10.1109/icc.2014.6883899
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Anycast routing for carbon footprint reduction in WDM hybrid power networks with data centers

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Cited by 8 publications
(15 citation statements)
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References 11 publications
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“…One of its goals is to control and optimise the routing function to steer traffic through the network in an effective way [11], providing appropriate Quality of Service (QoS) and efficient use of network resources. Over the years, interest has grown on applying traffic engineering as a network-wide technique to improve the energy efficiency of network resources [41,43,14]; such efforts are hereafter termed simply as Green Traffic Engineering (GreenTE). Although obtained results are promising, much of the work remains based on numerical analyses and simulation.…”
Section: Energy-aware Traffic Engineering and Sdnsmentioning
confidence: 99%
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“…One of its goals is to control and optimise the routing function to steer traffic through the network in an effective way [11], providing appropriate Quality of Service (QoS) and efficient use of network resources. Over the years, interest has grown on applying traffic engineering as a network-wide technique to improve the energy efficiency of network resources [41,43,14]; such efforts are hereafter termed simply as Green Traffic Engineering (GreenTE). Although obtained results are promising, much of the work remains based on numerical analyses and simulation.…”
Section: Energy-aware Traffic Engineering and Sdnsmentioning
confidence: 99%
“…In our previous work [19,18,9], we investigated SDN enabled traffic engineering to redirect data flows and reduce energy consumption. We also considered SDN based energy-aware anycast routing [14] extended by introducing cloud services differentiation [15], models of cooperation between SDN controller and cloud orchestration software [17] and the concept of interplay between fog and cloud infrastructures supported by wide area software defined networking [16]. As experimenting with production networks is rarely possible, the proposed techniques have been evaluated using a discrete-event simulation tool (OMNet++ [5]), which provided very promising and valuable results.…”
Section: Introductionmentioning
confidence: 99%
“…Numerous assumptions taken in this paper come from two of our previous works: [24] and [25]. In [24] we proposed three anycast strategies and compared them to three reference strategies with regard to network blocking probability and carbon dioxide emission.…”
Section: Related Workmentioning
confidence: 99%
“…In [24] we proposed three anycast strategies and compared them to three reference strategies with regard to network blocking probability and carbon dioxide emission. The main difference between [24] and this paper comes from the fact that in our previous work DCs had infinite computing resources and were assumed to offer only one type of cloud service. In [25] we introduced three types of cloud services and proposed schemas for fitting different anycast strategies to those services.…”
Section: Related Workmentioning
confidence: 99%
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