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Showing papers by "Daisaku Shimazaki published in 2013"


Journal ArticleDOI
TL;DR: This paper proposes an IP fast rerouting method which can be implemented in OpenFlow framework that separates control function from hardware implementation, and embeds the compression mechanism to the mechanism.
Abstract: This paper proposes an IP fast rerouting method which can be implemented in OpenFlow framework. While the current IP is robust, its reactive and global rerouting processes require the long recovery time against failure. On the other hand, IP fast rerouting provides a milliseconds-order recovery time by proactive and local restoration mechanism. Implementation of IP fast rerouting is not common in real systems, however; it requires the coordination of additional forwarding functions to a commercial hardware. We propose an IP fast rerouting mechanism using OpenFlow that separates control function from hardware implementation. Our mechanism does not require any extension of current forwarding hardware. On the contrary, increase of backup routes becomes main overhead of our proposal. We also embed the compression mechanism to our IP fast rerouting mechanism. We show the effectiveness of our IP fast rerouting in terms of the fast restoration and the backup routes compression effect through computer simulations. key words: flow table compression, implementation, IP fast rerouting, OpenFlow, restoration

14 citations


Proceedings ArticleDOI
01 Jan 2013
TL;DR: This work designed and developed the first proto-type system of adaptive virtual network topology control based on an SDTN architecture for robust network virtualization and demonstrated dynamic resource optimization among multiple virtual networks based on measured traffic.
Abstract: We designed and developed the first proto-type system of adaptive virtual network topology control based on an SDTN architecture for robust network virtualization. Dynamic resource optimization among multiple virtual networks based on measured traffic was successfully demonstrated on testbed network.

9 citations


Patent
03 Jun 2013
TL;DR: In this paper, the authors propose a network control device consisting of a network topology storage unit for storing connection topology information on a physical node, which is a physical resource of a communication network, and a traffic storage unit 15 for storing traffic information on each transmission path.
Abstract: PROBLEM TO BE SOLVED: To allow the solution to a maximum flow question to be applied to a large scale network by delaying divergence speed of an order of the amount of time calculation of solving the maximum flow question at multiple stages sequentially recovering from a failure of physical resources of a communication network.SOLUTION: A network control device 1 comprises: a network topology storage unit 14 for storing connection topology information on a physical node, which is a physical resource of a communication network, and a physical link 4; a traffic storage unit 15 for storing traffic information on each transmission path; a physical resource restoration order storage unit 17 for storing information on each physical resource restored at each stage; and a path calculation unit 12 that calculates the sum aggregate of a partial aggregate that can be restored at each stage and a path aggregate which is a solution of a maximum flow question of residual resources when the partial aggregate is restored in a final path aggregate of transmission paths which is the solution of the maximum flow problem at the final stage, and makes the sum aggregate the path aggregate at each stage.

3 citations


Proceedings ArticleDOI
30 Jun 2013
TL;DR: The simulation results indicate that the VNT control method adaptively responds to changes in network environments caused by node failure and constructs operational VNTs in more than 95% of simulation trials when 20% of nodes in the physical network fail simultaneously.
Abstract: We propose a virtual network topology (VNT) control method that is adaptive to environmental changes in a network. It is based on attractor selection, which models the biological systems that behave adaptively against changes in their surrounding environments. The simulation results indicate that our VNT control method adaptively responds to changes in network environments caused by node failure and constructs operational VNTs in more than 95% of simulation trials when 20% of nodes in the physical network fail simultaneously.

3 citations


Proceedings ArticleDOI
30 Jun 2013
TL;DR: Simulation results show number of reconfigurations to find good VNTs is significantly reduced with slightly increased, but still marginal, amount of information.
Abstract: We investigate what kind of information should be exchanged for controlling multiple VNTs. Simulation results show number of reconfigurations to find good VNTs is significantly reduced with slightly increased, but still marginal, amount of information.

1 citations