Hidetoshi Takeshita

MiDORi: Energy efficient network based on optimizing network design tool, remote protocol and new layer-2 switch

A network using minimum set of nodes and links that all communication traffic can be carried while meeting the QoS requirements named MiDORi are proposed. The proposed algorithm together can realize energy efficient IP/Ethernet.

Demonstration of the self organized dynamic link power management by “MiDORi” energy optimal network topology design engine

This paper reports the demonstration results of the dynamic link power management by energy optimal network topology design with prototype Gigabit layer-2 switches. The result shows dynamic link power management is feasible.

Distributed demand scheduling method to reduce energy cost in smart grid

Smart grid has attracted attentions and expresses a view for the future power systems in the world. Demand Side Management(DSM) is a significant method in smart grid that helps the energy providers to shift behind the peak load. Some methods to reduce peak load have been studied in dynamic pricing. One of the purposes is to delay the demand to periods of low electricity price. The conventional scheduling method makes load curve that is inversely proportional to electricity prices as an objective load curve, and this strategy delay the expected demand curve as close as to the objective load curve. There is a problem, however, the scope of controlled object is limited and the whole load situation is not considered. This paper presents a method to smooth the demand situation of each house to reduce electricity prices by a Genetic Algorithm, in consideration of the amount of the whole demand and coordination between each group. The proposed method is able to give a higher value of objective to the group which has more shiftable demand, by adjusting the objective curve considering the delayable time. This feature makes the load as close as the object and reduces electricity price. Simulation results show that the proposed algorithm achieve the reduction of the peak load and the utility bill in smart grid.

A study on network control method in Elastic Lambda Aggregation Network (EλAN)

This article proposes a network control method that realizes on-demand service providing in Elastic Lambda Aggregation Network (EλAN). EλAN is a next-generation access/aggregation network that provides various network services having different protocols and QoS requirements. EλAN also achieves the reduction of total network power consumption by sharing access network equipment by multiple network services. In the proposed method, fixed optical trees are introduced to EλAN to exchange control messages in the same manner as todays FTTH systems. Discovery process and optical path/tree aggregation using the optical trees are explained in this article. We also discuss the energy-saving effect of the optical path/tree aggregation in EλAN.

GMPLS-enabled, energy-efficient, self-organized network: MiDORi

A network using minimum set of nodes and links that all communication data traffics among nodes can be carried while meeting the QoS requirements named MiDORi (Multi- (layer, path, and resources) Dynamically Optimized Routing) has been proposed. MiDORi network technologies that is composed of a low energy consumption network design tool (MiDORi path computation engine (PCE)), MiDORi Generalized Multi-Protocol Label Switching (GMPLS) protocol extensions for controlling network equipment, and a MiDORi router/switch controlled by MiDORi GMPLS, are now developing. This paper describes recent activities of the MiDORi network technologies.

Energy efficient network design tool for green IP/Ethernet networks

New energy efficient network design algorithm and tool for low power consumption named MIDORI is proposed. Network is used minimum set of nodes and links which can transfer all communication traffic under QoS restriction. QoS restrictions are included hop limit, bandwidth limit reliability and stability. Set-covered problem is applied to this algorithm and all links are modeled as “1” for on and “0” for off. To solve the optimum network configuration, parallel data flow type reconfigurable processer, DAPDNA is applied to solve this problem efficiently. The processor automatically produces the node/link set and confirms traffic QoS requirements. This algorithm can achieve optimum network resources. According to our evaluation results, it can achieve more than 25 % higher efficient than conventional holistic algorithm. And also the evaluation results show the 2 decade faster calculation than conventional sequential method using Pentium II processor. Using the design tool and newly developed remote power controlled L2 switch, experimental network is now under development. Using the proposed algorithm and tool, energy efficient IP/ Ethernet network can be realized. We can estimate that it can reduce about 38K ton CO2 par year.

Experimental report of Elastic Lambda Aggregation Network (EλAN) control method for SDN-based Carrier Class Network

The unified control of core / metro / access networks using Software-Defined Networking (SDN) is effective for providing services flexibly. In this paper, experimental results of the unified control by hierarchized Controller utilizing OpenFlow protocol and abstracted network are presented.

Creating new generation optical network service

Two newly structured optical network architecture is proposed to create new optical network service. First one is energy efficient, data center centric optical aggregation network based on wavelength/time-slots multiplexing technique. All layer-3 traffic are transferred through the optical aggregation network and switched at huge centralized router at the data center. Power consumption of the network can be reduce 1/10 - 1/20 compared to the existing Internet. Next is service mash-up network by using broadband optical wire. All service contents, hardware, and software programs are defined as service parts. Optical wire interconnects some service parts and creates new mash-up service in the network.

Logical optical line terminal placement optimization in the elastic lambda aggregation network with optical distribution network constraints

The elastic lambda aggregation network (EλAN) has been presented as an access/aggregation integrated network that can accommodate multiple network services. In the EλAN, optical line terminals (OLTs) become programmable and configure logical OLTs (L-OLTs) to support network services that have different protocols and quality of service requirements. To achieve the flexible utilization of network resources and improve energy efficiency, L-OLTs are migrated between programmable OLTs like virtual machines. In this paper, an integer linear programming (ILP) model of the L-OLT placement optimization problem with optical distribution network constraints is presented. Based on this ILP model, the communication suspension time that occurs with L-OLT migration is investigated. We discuss the modification of the L-OLT migration sequence to reduce the communication suspension time. The impact of the modification on the energy saving effect of L-OLT placement optimization is evaluated in this paper.

TDMA-based OLT sharing method to improve disaster tolerance in Elastic Lambda Aggregation Network

To improve disaster tolerance in optical access and aggregation network, Elastic Lambda Aggregation Network (EλAN) has been proposed. This paper proposes a novel TDMA based OLT sharing method among ONU groups in EλAN.