• 융합보안논문지
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• 제13권4호
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• pp.19-25
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• 2013

백본(코어) 네트워크에서 유연하고 안정적인 품질이 보장되는 서비스 제공에 대한 요구가 폭발적으로 증가하면서 이러한 요구를 수용하기 위해 제어평면의 프로토콜로 MPLS/GMPLS가 도입되었다. GMPLS 기반 제어평면에서 경로계산 및 상호연동 기능은 최적의 서비스 품질을 제공하기 위한 핵심기술 중의 하나이다. 이를 위해 IETF에서는 Path Computation Element (PCE) 구조를 제안하였다. PCE는 경로계산 전용의 네트워크 요소이며 경로계산을 요청하는 Path Computation Clients (PCC) 와 경로계산을 수행하는 PCE 간의 통신은 PCE 프로토콜 (PCEP)을 이용한다. 본 논문은 PCE 기반 경로계산 구조에 대해서 살펴보고 이를 기반으로 PCEP 설계 및 구현을 위한 몇 가지 요소를 제시하였다. 우선 본 논문에서는 PCEP Finite State Machine (FSM)을 포함하여 각 상태에서 필요한 동작 요소를 정리하였다. 또한 본 논문에서는 PCEP에서 제공하는 통신 채널을 효과적으로 제어하기 위한 내부/외부 인터페이스를 더불어 제안하였다.

• ETRI Journal
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• 제32권4호
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• pp.622-625
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• 2010

In this letter, we assess the scalability of a path computation flooding (PCF) approach to compute optimal end-to-end inter-domain paths in a path computation element-based multi-domain network. PCF yields a drastically reduced network blocking probability compared to a blind per-domain path computation but introduces significant network control overhead and path computation complexity. In view of this, we introduce and compare an alternative low overhead PCF (LoPCF) solution. From the obtained results, LoPCF leads to similar blocking probabilities to PCF while exhibiting around 50% path computation complexity and network control overhead reduction.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권12호
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• pp.5723-5743
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• 2018

The evolving internet-based services demand high-speed data transmission in conjunction with scalability. The next generation optical network has to exploit artificial intelligence and cognitive techniques to cope with the emerging requirements. This work proposes a novel way to solve the dynamic provisioning problem in optical network. The provisioning in optical network involves the computation of routes and the reservation of wavelenghs (Routing and Wavelength assignment-RWA). This is an extensively studied multi-objective optimization problem and its complexity is known to be NP-Complete. As the exact algorithms incurs more running time, the heuristic based approaches have been widely preferred to solve this problem. Recently the software-defined networking has impacted the way the optical pipes are configured and monitored. This work proposes the dynamic selection of path computation algorithms in response to the changing service requirements and network scenarios. A software-defined controller mechanism with a novel packet matching feature was proposed to dynamically match the traffic demands with the appropriate algorithm. A software-defined controller with Path Computation Element-PCE was created in the ONOS tool. A simulation study was performed with the case study of dynamic path establishment in ONOS-Open Network Operating System based software defined controller environment. A java based NOX controller was configured with a parent path computation element. The child path computation elements were configured with different path computation algorithms under the control of the parent path computation element. The use case of dynamic bulk path creation was considered. The algorithm selection method is compared with the existing single algorithm based method and the results are analyzed.

• 융합보안논문지
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• 제13권6호
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• pp.3-9
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• 2013

정보통신 환경의 급변과 더불어 정보 사회의 기반이 되는 네트워크도 다양한 기술의 발전과 더불어 기존의 고정된 형태에서 벗어나 대용량의 다양한 데이터를 유연하게 전송할 수 있는 능동 가변형으로 진화하고 있다. 더불어 다양한 사용자들의 요구사항을 반영하기 위해 차세대 전달망은 DWDM 전송 시스템과 OXC 로 재구성이 쉬운 동적인 망을 형성하고, 이후에 ROADM/PXC를 기반으로 하는 동적으로 망을 관리하고 제어할 수 있는 GMPLS 기술을 도입하여 망을 운용하는 형태로 발전하고 있다. 본 논문에서는 이러한 차세대 네트워크에서 경로계산을 위해 IETF 제안한 Path Computation Element (PCE) 프로토콜을 구현하기 위한 전체 S/W 구성 및 기능 블록들을 제안하였고, 상위 계층에서 PCE 프로토콜을 사용할 때 필요한 API를 제안하였다.

• Journal of Information Processing Systems
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• 제18권2호
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• pp.188-196
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• 2022

Recently, neural architecture search (NAS) has received increasing attention as it can replace human experts in designing the architecture of neural networks for different tasks and has achieved remarkable results in many challenging tasks. In this study, a path-based computation neural architecture encoder (PCE) was proposed. Our PCE first encodes the computation of information on each path in a neural network, and then aggregates the encodings on all paths together through an attention mechanism, simulating the process of information computation along paths in a neural network and encoding the computation on the neural network instead of the structure of the graph, which is more consistent with the computational properties of neural networks. We performed an extensive comparison with eight encoding methods on two commonly used NAS search spaces (NAS-Bench-101 and NAS-Bench-201), which included a comparison of the predictive capabilities of performance predictors and search capabilities based on two search strategies (reinforcement learning-based and Bayesian optimization-based) when equipped with different encoders. Experimental evaluation shows that PCE is an efficient encoding method that effectively ranks and predicts neural architecture performance, thereby improving the search efficiency of neural architectures.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권2호
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• pp.678-690
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• 2014

The current networks do not disclose information about a management domain due to scalability, manageability and commercial reasons. Therefore, it is very hard to calculate an optimal path to the destination. Also, due to poor information sharing, if an error occurs in the intermediate path, it is very difficult to re-search the path and find the best path. Hence, to manage each domain more efficiently, an architecture with top-level path computation node which can obtain information of separate nodes are highly needed This study aims to investigate a federation of a united network around NRN(National Research Network) that could allow resource sharing between countries and also independent resource management for each country. Considering first the aspects that can be accessed from the perspective of a national research network, ICE(Information Control Element) and GFO(Global Federation Organizer)-based architecture is designed as a top-level path computation element to support traffic engineering and applied to the multi-domain network. Then, the federation for the independent management of resources and resource information sharing among national research networks have been examined.

• 조명전기설비학회논문지
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• 제25권2호
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• pp.143-149
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• 2011

In this paper, IIR structures are proposed to reduce the computation complexity of the secondary-pass estimation in active noise control(ANC) systems. However, there are stability problems of using IIR models to reduce the computation complexity in ANC systems. To overcome these problems, we propose a stabilizing procedure of recursive least mean squares (RLMS) algorithms for eatimating the parameters of IIR models of the secondary path transfer functions. The multichannel ANC systems are implemented by using the TMS320C6713 DSP board to test the performance of computation complexity and stability of the proposed methods. Comparing the IIR filters with the FIR filters, the IIR filters can reduce 50[%] of the computation and obtain similar noise reduction result.

• 제어로봇시스템학회논문지
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• 제14권4호
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• pp.392-398
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• 2008

We propose a new path planning method for autonomous mobile robots. To maximize the utility of mobile robots, the collision-free shortest path should be generated by on-line computation. In this paper, we develop an effective and practical method to generate a good solution by lower computation time. The initial path is obtained from skeleton graph by Dijkstra's algorithm. Then the path is improved by changing the graph and path dynamically. We apply the dynamic programming algorithm into the stage of improvement. Simulation results are presented to verify the performance of the proposed method.

• Structural Engineering and Mechanics
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• 제5권5호
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• pp.577-586
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• 1997

In nonlinear finite element stability analysis of structures, the foremost necessary procedure is the computation to precisely locate a singular equilibrium point, at which the instability occurs. The present study describes global and local procedures for the computation of stability points including bifurcation points and limit points. The starting point, at which the procedure will be initiated, may be close to or arbitrarily far away from the target point. It may also be an equilibrium point or non-equilibrium point. Apart from the usual equilibrium path, bypass and homotopy path are proposed as the global path to the stability point. A local iterative method is necessary, when it is inspected that the computed path point is sufficiently close to the stability point.

• Journal of information and communication convergence engineering
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• 제5권3호
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• pp.239-244
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• 2007

In the telematics system, a reasonable path search time should be guaranteed from a great number of user's queries, even though the optimal path with minimized travel time might be continuously changed by the traffic flows. Thus, the path search method should consider traffic flows of the roads and the search time as well. However, the existing path search methods are not able to cope efficiently with the change of the traffic flows and to search rapidly paths simultaneously. This paper proposes a new path search method for fast computation. It also reflects the traffic flows efficiently. Especially, in order to simplify the computation of variable heuristic values, it employs a simplification method for estimating values of traffic-adaptable heuristics. The experiments are carried out with the $A^*$ algorithm and the proposed method in terms of the execution time, the number of node accesses and the accuracy. The results obtained from the experiments show that the method achieves very fast execution time and the reasonable accuracy as well.