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        Hierarchical Power Management Architecture and Optimal Local Control Policy for Energy Efficient Networks

        Wei, Yifei,Wang, Xiaojun,Fialho, Leonardo,Bruschi, Roberto,Ormond, Olga,Collier, Martin The Korea Institute of Information and Commucation 2016 Journal of communications and networks Vol.18 No.4

        Since energy efficiency has become a significant concern for network infrastructure, next-generation network devices are expected to have embedded advanced power management capabilities. However, how to effectively exploit the green capabilities is still a big challenge, especially given the high heterogeneity of devices and their internal architectures. In this paper, we introduce a hierarchical power management architecture (HPMA) which represents physical components whose power can be monitored and controlled at various levels of a device as entities. We use energy aware state (EAS) as the power management setting mode of each device entity. The power policy controller is capable of getting information on how many EASes of the entity are manageable inside a device, and setting a certain EAS configuration for the entity. We propose the optimal local control policy which aims to minimize the router power consumption while meeting the performance constraints. A first-order Markov chain is used to model the statistical features of the network traffic load. The dynamic EAS configuration problem is formulated as a Markov decision process and solved using a dynamic programming algorithm. In addition, we demonstrate a reference implementation of the HPMA and EAS concept in a NetFPGA frequency scaled router which has the ability of toggling among five operating frequency options and/or turning off unused Ethernet ports.

      • KCI등재

        Hierarchical Power Management Architecture and Optimal Local Control Policy for Energy Efficient Networks

        Yifei Wei,Xiao-jun Wang,Leonardo Fialho,Roberto Bruschi,Olga Ormond,Martin Collier 한국통신학회 2016 Journal of communications and networks Vol.18 No.4

        Since energy efficiency has become a significant concernfor network infrastructure, next-generation network devices areexpected to have embedded advanced power management capabilities. However, how to effectively exploit the green capabilities isstill a big challenge, especially given the high heterogeneity of devicesand their internal architectures. In this paper, we introduce ahierarchical power management architecture (HPMA) which representsphysical components whose power can be monitored andcontrolled at various levels of a device as entities. We use energyaware state (EAS) as the power management setting mode of eachdevice entity. The power policy controller is capable of getting informationon how many EASes of the entity are manageable insidea device, and setting a certain EAS configuration for the entity. Wepropose the optimal local control policy which aims to minimizethe router power consumption while meeting the performance constraints. A first-order Markov chain is used to model the statisticalfeatures of the network traffic load. The dynamic EAS configurationproblemis formulated as aMarkov decision process and solvedusing a dynamic programming algorithm. In addition, we demonstratea reference implementation of the HPMA and EAS conceptin a NetFPGA frequency scaled router which has the ability of togglingamong five operating frequency options and/or turning offunused Ethernet ports.

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