• Title/Summary/Keyword: 팬케익 그래프

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스타(Star) 그래프와 팬케익(Pancake) 그래프간의 임베딩

  • 민준식;이형옥
    • Proceedings of the IEEK Conference
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    • 2003.07d
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    • pp.1573-1576
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    • 2003
  • 스타 그래프와 팬케익 그래프는 하이퍼큐브가 갖는 좋은 성질을 가지면서 하이퍼큐브보다 망 비용이 적은 값을 갖는 상호연결망이다. 본 논문에서는 그래프의 에지 정의를 이용하여 스타 그래프 S/sub n/은 팬케익 그래프 P/sub n/에 연장율 4, 확장율 1에 임베딩 가능함을 보인다.

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One-to-One Mapping Algorithm between Matrix Star Graphs and Half Pancake Graphs (행렬스타 그래프와 하프 팬케익 그래프 사이의 일대일 사상 알고리즘)

  • Kim, Jong-Seok;Yoo, Nam-Hyun;Lee, Hyeong-Ok
    • Journal of the Korean Institute of Intelligent Systems
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    • v.24 no.4
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    • pp.430-436
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    • 2014
  • Matrix-star and Half-Pancake graphs are modified versions of Star graphs, and has some good characteristics such as node symmetry and fault tolerance. This paper analyzes embedding between Matrix-star and Half-Pancake graphs. As a result, Matrix-star graphs $MS_{2,n}$ can be embedded into Half-Pancake graphs $HP_{2n}$ with dilation 5 and expansion 1. Also, Half Pancake Graphs, $HP_{2n}$ can be embedded into Matrix Star Graphs, $MS_{2,n}$ with the expansion cost, O(n). This result shows that algorithms developed from Star Graphs can be applied at Half Pancake Graphs with additional constant cost because Star Graphs, $S_n$ is a part graph of Matrix Star Graphs, $MS_{2,n}$.

Embedding between Macro-star and Pancake Graphs Using the Graph edge (그래프 에지를 이용한 매크로-스타(Macro-star)와 팬케익(Pancake) 그래프간의 임베딩)

  • Min, Jun-Sik;Choe, Eun-Bok;Lee, Hyeong-Ok
    • Proceedings of the Korea Information Processing Society Conference
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    • 2003.05a
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    • pp.161-164
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    • 2003
  • n-차원 스타 그래프와 펜케익 그래프의 노드 개수는 n!개로서, 하이퍼큐브가 갖는 좋은 성질을 가지면서 하이퍼큐브 보다 망 비용이 적은 값을 갖는 상호연결망이다. 본 논문에서는 스타 그래프와 팬케익 그래프가 동일한 노드 개수를 가질 때, 두 그래프의 에지 정의를 이용하여 스타 그래프 $S_n$을 팬케익 그래프 $P_n$에 연장율 4, 확장율 1에 임베딩 가능함을 보이고. 펜케익을 매크로-스타에 임베딩 하는 비용이 O(n)임을 보인다.

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Embedding algorithm among star graph and pancake graph, bubblesort graph (스타 그래프와 팬케익, 버블정렬 그래프 사이의 임베딩 알고리즘)

  • Kim, Jong-Seok;Lee, Hyeong-Ok;Kim, Sung-Won
    • The Journal of Korean Association of Computer Education
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    • v.13 no.5
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    • pp.91-102
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    • 2010
  • Star graph is a well-known interconnection network to further improve the network cost of Hypercube and has good properties such as node symmetry, maximal fault tolerance and strongly hierarchical property. In this study, we will suggest embedding scheme among star graph and pancake graph, bubblesort graph, which are variations of star graph. We will show that bubblesort graph can be embedded into pancake and star graph with dilation 3, expansion 1, respectively and pancake graph can be embedded into bubblesort graph with dilation cost O($n^2$). Additionally, we will show that star graph can be embedded into pancake graph with dilation 4, expansion 1. Also, with dilation cost O(n) we will prove that star graph can be embedded into bubblesort graph and pancake graph can be embedded into star graph.

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Embedding Mechanism between Pancake and Star, Macro-star Graph (팬케익 그래프와 스타(Star) 그래프, 매크로-스타(Macro-star) 그래프간의 임베딩 방법)

  • 최은복;이형옥
    • Journal of Korea Multimedia Society
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    • v.6 no.3
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    • pp.556-564
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    • 2003
  • A Star and Pancake graph also have such a good property of a hypercube and have a low network cost than the hypercube. A Macro-star graph which has the star graph as a basic module has the node symmetry, the maximum fault tolerance, and the hierarchical decomposition property. And, it is an interconnection network which improves the network cost against the Star graph. In this paper, we propose a method to embed between Star graph, Pancake graph, and Macro-star graph using the edge definition of graphs. We prove that the Star graph $S_n$ can be embedded into Pancake graph $P_n$ with dilation 4, and Macro-star graph MS(2,n) can be embedded into Pancake graph $P_{2n+1}$ with dilation 4. Also, we have a result that the embedding cost, a Pancake graph can be embedded into Star and Macro-star graph, is O(n).

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Embedding Analysis Among the Matrix-star, Pancake, and RFM Graphs (행렬-스타그래프와 팬케익그래프, RFM그래프 사이의 임베딩 분석)

  • Lee Hyeong-Ok;Jun Young-Cook
    • Journal of Korea Multimedia Society
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    • v.9 no.9
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    • pp.1173-1183
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    • 2006
  • Matrix-star, Pancake, and RFM graphs have such a good property of Star graph and a lower network cost than Hypercube. Matrix-star graph has Star graph as a basic module and the node symmetry, the maximum fault tolerance, and the hierarchical decomposition property. Also it is an interconnection network that improves the network cost against Star graph. In this paper, we propose a method to embed among Matrix-star Pancake, and RFM graphs using the edge definition of graphs. We prove that Matrix-star $MS_{2,n}$ can be embedded into Pancake $P_{2n}$ with dilation 4, expansion 1, and $RFM_{n}$ graphs can be embedded into Pancake $P_{n}$ with dilation 2. Also, we show that Matrix-star $MS_{2,n}$ can be embedded into the $RFM_{2n}$ with average dilation 3.

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Embedding Algorithm for Star, Bubblesort, Pancake Graphs (스타 그래프, 버블정렬 그래프와 팬케익 그래프 사이의 임베딩(embedding) 알고리즘)

  • Kim, Dong-Wan;Min, Jun-Sik;Lee, Hyeong-Ok
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.04a
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    • pp.111-114
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    • 2010
  • 스타 그래프, 버블정렬 그래프, 팬케익 그래프는 노드 대칭성(node symmetric), 최대 고장 허용도(maximum fault tolerance), 계층적 분할 성질을 갖고, 하이퍼큐브보다 망비용이 개선된 상호 연결망이다. 본 연구에서는 상호연결망으로 널리 알려진 스타 그래프와 그의 변형된 그래프들 사이의 임베딩 방법을 제안하고, 임베딩 비용을 분석한다. 임베딩 결과는 버블정렬 그래프는 스타 그래프에 연장율(dilation) 3, 스타그래프는 팬케익 그래프에 연장율 4로 각각 임베딩 가능하다.

Embedding algorithms among hypercube and star graph variants (하이퍼큐브와 스타 그래프 종류 사이의 임베딩 알고리즘)

  • Kim, Jongseok;Lee, Hyeongok
    • The Journal of Korean Association of Computer Education
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    • v.17 no.2
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    • pp.115-124
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    • 2014
  • Hypercube and star graph are widely known as interconnection network. The embedding of an interconnection network is a mapping of a network G into other network H. The possibility of embedding interconnection network G into H with a low cost, has an advantage of efficient algorithms usage in network H, which was developed in network G. In this paper, we provide an embedding algorithm between HCN and HON. HCN(n,n) can be embedded into HON($C_{n+1},C_{n+1}$) with dilation 3 and HON($C_d,C_d$) can be embedded into HCN(2d-1,2d-1) with dilation O(d). Also, star graph can be embedded to half pancake's value of dilation 11, expansion 1, and average dilation 8. Thus, the result means that various algorithms designed for HCN and Star graph can be efficiently executed on HON and half pancake, respectively.

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A Half Pancake network that improve the network cost for Pancake graph (팬케익 그래프의 망비용을 개선한 하프팬케익 연결망)

  • Kim, JuBong;Seo, Jung-Hyun;Lee, HyeongOk
    • Journal of Korea Multimedia Society
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    • v.17 no.6
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    • pp.716-724
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    • 2014
  • The pancake graph is node symmetric and is utilized on the data sorting algorithm. We propose a new half pancake graph that improve pancake graph's network cost. The half pancake degree is approximately half of pancakes degree and diameter is 3n+4. The pancake graph's network cost is $O(1.64n^2)$ and half pancake's is $O(1.5n^2)$. Additionally half pancake graph is sub graph of pancake graph. As this result, The several algorithms developed in pancake graph has the advantage of leverage on the pancake by adding constant cost.

Analysis of Various Characteristics of the Half Pancake Graph (하프팬케익 그래프의 다양한 성질 분석)

  • Seo, Jung-Hyun;Lee, HyeongOk
    • Journal of Korea Multimedia Society
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    • v.17 no.6
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    • pp.725-732
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    • 2014
  • The Pancake graph is node symmetric and useful interconnection network in the field of data sorting algorithm. The Half Pancake graph is a new interconnection network that reduces the degree of the Pancake graph by approximately half and improves the network cost of the Pancake graph. In this paper, we analyze topological properties of the Half Pancake graph $HP_n$. Fist, we prove that $HP_n$ has maximally fault tolerance and recursive scalability. In addition, we show that in $HP_n$, there are isomorphic graphs of low-dimensional $HP_n$. Also, we propose that the Bubblesort $B_n$ can be embedded into Half Pancake $HP_n$ with dilation 5, expansion 1. These results mean that various algorithms designed for the Pancake graph and the Bubble sort graph can be executed on $HP_n$ efficiently.