• Title/Summary/Keyword: Steiner Minimum Tree

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A GOSST Heuristic Mechanism for the Design of a Physical Multiple Security Grade Network (물리적 다중 보안 등급 네트워크 설계를 위한 GOSST 휴리스틱 메커니즘)

  • Kim, In-Bum;Kim, Chae-Kak
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.12B
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    • pp.728-734
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    • 2007
  • In this paper, we propose a GOSST(Grade Of Services Steiner minimum Tree) heuristic mechanism for the design of a physical multiple security grade network with minimum construction cost. On the network, each node can communicate with other nodes by its desiring security grade. Added to the existing network security methods, the preventing method from illegal physical access is necessary for more safe communication. To construct such network with minimum cost, the GOSST problem is applied. As the GOSST problem is a NP-Hard problem, a heuristic with reasonable complexity is necessary for a practical solution. In this research, to design the physical multiple security grade network with the minimum construction cost, the reformed our previous Distance Direct GOSST heuristic mechanism is proposed. The mechanism brings average 29.5% reduction in network construction cost in comparison with the experimental control G-MST.

On Minimum Cost Multicast Routing Based on Cost Prediction

  • Kim, Moon-Seong;Mutka, Matt W.;Hwang, Dae-Jun;Choo, Hyun-Seung
    • Journal of Communications and Networks
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    • v.11 no.5
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    • pp.500-508
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    • 2009
  • We have designed an algorithm for a problem in multicast communication. The problem is to construct a multicast tree while minimizing its cost, which is known to be NP-complete. Our algorithm, which employs new concepts defined as potential cost and spanning cost, generates a multicast tree more efficiently than the well-known heuristic called Takahashi and Matsuyama (TM) [1] in terms of tree cost. The time complexity of our algorithm is O($kn^2$) for an n-node network with k members in the multicast group and is comparable to the TM. Our empirical performance evaluation comparing the proposed algorithm with TM shows that the enhancement is up to 1.25%~4.23% for each best case.

The MCSTOP Algorithm about the Minimum Cost Spanning Tree and the Optimum Path Generation for the Multicasting Path Assignment (최적 경로 생성 및 최소 비용 신장 트리를 이용한 멀티캐스트 경로 배정 알고리즘 : MCSTOP)

  • Park, Moon-Sung;Kim, Jin-Suk
    • The Transactions of the Korea Information Processing Society
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    • v.5 no.4
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    • pp.1033-1043
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    • 1998
  • In this paper, we present an improved multicasting path assignment algorithm based on the minimum cost spanning tree. In the method presented in this paper, a multicasting path is assigned preferentially when a node to be received is found among the next degree nodes of the searching node in the multicasting path assignment of the constrained steiner tree (CST). If nodes of the legacy group exist between nodes of the new group, a new path among the nodes of new group is assigned as long as the nodes may be excluded from the new multicasting path assignment taking into consideration characteristics of nodes in the legacy group. In assigning the multicasting path additionally, where the source and destination nodes which can be set for the new multicasting path exist in the domain of identical network (local area network) and conditions for degree constraint are satisfied, a method of producing and assigning a new multicasting path is used. The results of comparison of CST with MCSTOP, MCSTOp algorithm enhanced performance capabilities about the communication cost, the propagation delay, and the computation time for the multicasting assignment paths more than CST algorithm. Further to this, research activities need study for the application of the international standard protocol(multicasting path assignment technology in the multipoint communication service (MCS) of the ITU-T T.120).

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A Survey on Design Modelling of Networks with Three Configuration (트리(Tree) 구조를 갖는 망설계 문제의 정식화에 관한 조사연구)

  • Tcha, D.W.;Yoon, M.G.
    • Journal of the Korean Operations Research and Management Science Society
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    • v.15 no.1
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    • pp.1-22
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    • 1990
  • This susrvey is on modelling of various network design problems with tree configuration, which have a wide variety of practical applications, particularly in communication, which have a wide a variety of practical applications, particularly in communication and transportation network planning. Models which can be classified as either minimum spanning tree of Steiner tree, are investigated. Various important variants of each basic model are then classified according to model structurs. In addition to the calssification, the typical solution method for each problem is briefly sketched, along with some remarks on further research issues.

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Multicast Tree Generation using Meta Reinforcement Learning in SDN-based Smart Network Platforms

  • Chae, Jihun;Kim, Namgi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.9
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    • pp.3138-3150
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    • 2021
  • Multimedia services on the Internet are continuously increasing. Accordingly, the demand for a technology for efficiently delivering multimedia traffic is also constantly increasing. The multicast technique, that delivers the same content to several destinations, is constantly being developed. This technique delivers a content from a source to all destinations through the multicast tree. The multicast tree with low cost increases the utilization of network resources. However, the finding of the optimal multicast tree that has the minimum link costs is very difficult and its calculation complexity is the same as the complexity of the Steiner tree calculation which is NP-complete. Therefore, we need an effective way to obtain a multicast tree with low cost and less calculation time on SDN-based smart network platforms. In this paper, we propose a new multicast tree generation algorithm which produces a multicast tree using an agent trained by model-based meta reinforcement learning. Experiments verified that the proposed algorithm generated multicast trees in less time compared with existing approximation algorithms. It produced multicast trees with low cost in a dynamic network environment compared with the previous DQN-based algorithm.

A Study on Discrete Mathematics Subjects Focused on the Network Problem for the Mathematically Gifted Students in the Elementary School (초등 영재교육에 적용 가능한 이산수학 주제의 내용 구성에 관한 소고 -네트워크 문제를 중심으로-)

  • Choi, Keun-Bae
    • School Mathematics
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    • v.7 no.4
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    • pp.353-373
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    • 2005
  • The purpose of this paper is to analysis the basic network problem which can be applied to the mathematically gifted students in elementary school. Mainly, we discuss didactic transpositions of the double counting principle, the game of sprouts, Eulerian graph problem, and the minimum connector problem. Here the double counting principle is related to the handshaking lemma; in any graph, the sum of all the vertex-degree is equal to the number of edges. The selection of these subjects are based on the viewpoint; to familiar to graph theory, to raise algorithmic thinking, to apply to the real-world problem. The theoretical background of didactic transpositions of these subjects are based on the Polya's mathematical heuristics and Lakatos's philosophy of mathematics; quasi-empirical, proofs and refutations as a logic of mathematical discovery.

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