• Title/Summary/Keyword: Graph topology

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Generalizations of limit theorems by A. V. Skorokhod

  • Park, Sung-Ki
    • Communications of the Korean Mathematical Society
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    • v.12 no.1
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    • pp.127-133
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    • 1997
  • In order to study the limits of sequences appearing in, for example, stochastic process, A. V. Skorokhod has defined new function space topologies. We compare these topologies with the topology of compact convergence, the topology of pointwise convergence and others.

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Improvement on The Complexity of Distributed Depth First Search Protocol (분산깊이 우선 탐색 프로토콜의 복잡도 개선을 위한 연구)

  • Choe, Jong-Won
    • The Transactions of the Korea Information Processing Society
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    • v.3 no.4
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    • pp.926-937
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    • 1996
  • A graph traversal technique is a certain pattern of visiting nodes of a graph. Many special traversal techniques have been applied to solve graph related problems. For example, the depth first search technique has been used for finding strongly onnected components of a directed graph or biconnected components of a general graph. The distributed protocol to implement his depth first search technique on the distributed network can be divided into a fixed topology problem where there is no topological change and a dynamic topology problem which has some topological changes. Therefore, in this paper, we present a more efficient distributed depth first search protocol with fixed topology and a resilient distributed depth first search protocol where there are topological changes for the distributed network. Also, we analysed the message and time complexity of the presented protocols and showed the improved results than the complexities of the other distributed depth first search protocols.

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Next Location Prediction with a Graph Convolutional Network Based on a Seq2seq Framework

  • Chen, Jianwei;Li, Jianbo;Ahmed, Manzoor;Pang, Junjie;Lu, Minchao;Sun, Xiufang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.5
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    • pp.1909-1928
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    • 2020
  • Predicting human mobility has always been an important task in Location-based Social Network. Previous efforts fail to capture spatial dependence effectively, mainly reflected in weakening the location topology information. In this paper, we propose a neural network-based method which can capture spatial-temporal dependence to predict the next location of a person. Specifically, we involve a graph convolutional network (GCN) based on a seq2seq framework to capture the location topology information and temporal dependence, respectively. The encoder of the seq2seq framework first generates the hidden state and cell state of the historical trajectories. The GCN is then used to generate graph embeddings of the location topology graph. Finally, we predict future trajectories by aggregated temporal dependence and graph embeddings in the decoder. For evaluation, we leverage two real-world datasets, Foursquare and Gowalla. The experimental results demonstrate that our model has a better performance than the compared models.

A Study on the Efficient Task Scheduling by the Reconstructed Task Graph (태스크 그래프의 재구성에 의한 효율적 태스크 스케줄링에 관한 연구)

  • Byun, Seung-Hwan;Yoo, Kwan-Jong
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.9
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    • pp.2235-2246
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    • 1997
  • This paper presents an effective heuristic task scheduling algorithm for multiprocessor systems. To execute task scheduling effectively which is defined as an allocation of m's tasks onto n's processors(m > n), several problems almost at NP-hard should be cleaned up. The purpose of the task scheduling obtains the minimum execution time by mapping the tasks on a system topology or reduces the total execution time to give a minimum system topology. In order to solve this problem, in this paper, the task scheduling is done by redefining a task graph to a reconstructed task graph (RTG). An RTG is obtained by merging or copying nodes to equal the number of nodes on each level of the task graph to the number of processors of the system topology and then directly scheduled to the system topology. This method obtains a fast scheduling time and a simple scheduling method, and near-optimal execution time without executing steps such as the refinement step and the duplication step after the task scheduling.

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Enumerations of Finite Topologies Associated with a Finite Simple Graph

  • Kim, Dongseok;Kwon, Young Soo;Lee, Jaeun
    • Kyungpook Mathematical Journal
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    • v.54 no.4
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    • pp.655-665
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    • 2014
  • The number of topologies (non-homeomorphic topologies) on a fixed finite set having n elements are now known up to n = 18 (n = 16 respectively) but still no complete formula yet. There are one to one correspondences among topologies, preorders and transitive digraphs on a given finite set. In this article, we enumerate topologies and non-homeomorphic topologies whose underlying graph is a given finite simple graph.

Matrix Hypercube Graphs : A New Interconnection Network for Parallel Computer (행렬 하이퍼큐브 그래프 : 병렬 컴퓨터를 위한 새로운 상호 연결망)

  • 최선아;이형옥임형석
    • Proceedings of the IEEK Conference
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    • 1998.06a
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    • pp.293-296
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    • 1998
  • In this paper, we propose a matrix hypercube graph as a new topology for parallel computer and analyze its characteristics of the network parameters, such as degree, routing and diameter. N-dimensional matrix hypercube graph MH(2,n) contains 22n vertices and has relatively lower degree and smaller diameter than well-known hypercube graph. The matrix hypercube graph MH(2,n) and the hypercube graph Q2n have the same number of vertices. In terms of the network cost, defined as the product of the degree and diameter, the former has n2 while the latter has 4n2. In other words, it means that matrix hypercube graph MH(2,n) is better than hypercube graph Q2n with respect to the network cost.

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Better Analysis of Lower Bounds of Frequency Assignment Problems in Wireless Networks with Cellular Topology (셀룰러 위상구조 무선망에서의 주파수 할당 문제의 향상된 하한 값 분석)

  • Lee, Sang-Kyu;Lee, Ju-Young
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.11
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    • pp.830-835
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    • 2006
  • Because of its exponential growth of data and voice transmissions through wireless communications, efficient resource management became more important factor when we design wireless networks. One of those limited resources in the wireless communications is frequency bandwidth. As a solution of increasing reusability of resources, the efficient frequency assignment problems on wireless networks have been widely studied. One suitable approach to solve these frequency assignment problems is transforming the problem into traditional graph coloring problems in graph theory. However, most of frequency assignments on arbitrary network topology are NP-Complete problems. In this paper, we consider the Chromatic Bandwidth Problem on the cellular topology wireless networks. It is known that the lower bound of the necessary number of frequencies for this problem is $O(k^2)$. We prove that the lower bound of the necessary number of frequencies for the Chromatic Bandwidth Problem is $O(k^3)$ which is tighter lower bound than the previous known result.

Optimum Logical Topology for WDM Networks

  • Nittayawan, Jittima;Runggeratigul, Suwan
    • Proceedings of the IEEK Conference
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    • 2002.07c
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    • pp.1371-1374
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    • 2002
  • This paper compares four network con-figurations for using as the logical topology in multi- hop wavelength division multiplexing (WDM) networks. The regular network configurations studied in this paper axe ShuffleNet, de Bruijn graph, hypercube, and Man-hattan street network. Instead of using the weight mean hop distance of node placement problem for comparing optimum logical topology, we introduce a new objective function that includes h and the network cost. It can be seen that the network cost strongly depends on the logical topology selected for the implementation of the network. The objective of this paper is to find an optimum logical topology for WDM networks that gives low as well as low network cost.

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