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检索条件"机构=High Performance Computing Lab Department of Computer Science and Engineering"

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R-iCDN: An approach supporting flexible content routing for ISP-operated CDN 9

R-iCDN: An approach supporting flexible content routing for ...

引用

9th ACM MobiCom Workshop on Mobility in the Evolving Internet Architecture, MobiArch 2014

作者： Lin, Tao Xu, Yuemei Zhang, Guoqiang Xin, Yonghui Li, Yang Ci, Song High Performance Network Lab. Institute of Acoustics Chinese Academy of Sciences China School of Computer Science and Technology Nanjing Normal University China Department of Computer and Electronics Engineering University of Nebraska-Lincoln United States

ISBN: (纸本)9781450330749

Driven by the requirements of both accommodating the increasing traffic volume and monetizing online contents, more and more ISPs are embracing and building their own content delivery networks. Traditionally, there exist two kinds of ISP-operated CDNs from the perspective of overlay network topology, namely flat CDN and hierarchical CDN. However, we argue that both flat and hierarchical CDNs are suboptimal since they can not fully exploit the ISP network infrastructure such as rich multi-homing links. In this paper, we borrow the idea of name-based routing from Information-centric Networking and propose a novel ISP-operated CDN approach which supports flexible content routing to optimize the efficiency of content distribution. Extensive experiments carried out on a real nation-scale network topology have been performed to evaluate the proposed approach, and results demonstrate that our proposed approach can significantly improve the performance.

关键词： Network topology

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Eliminate self-interference misses of cache through modifying data layout of arrays

Eliminate self-interference misses of cache through modifyin...

引用

International Conference on high performance computing in the Asia-Pacific Region

作者： Xinda Lu Jie Chen High Performance Computing Laboratory Department of Computer Science and Engineering Shanghai Jiaotong University Shanghai China

ISBN: (纸本)0769505892

Loop tiling is an effective way to improve the cache hit ratio. However, while eliminating self-interference misses, tiling may produce small tiling factors for the cases of some arrays. In order to obtain stable and proper tiling factors, a new method that automatically generates tiling factors is proposed in this paper. These tiling factors are independent of arrays and can completely eliminate self-interference misses and can also significantly reduce cross-interference misses.

关键词： Interference elimination Space technology high performance computing laboratories computer science Data engineering Automatic testing computer languages Operating systems

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A parallel loop self-scheduling on grid computing environments

A parallel loop self-scheduling on grid computing environmen...

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International Symposium on Parallel Architectures, Algorithms and Networks (ISPAN)

作者： Kuan-Wei Cheng Chao-Tung Yang Chuan-Lin Lai Shun-Chyi Chang High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan

ISBN: (纸本)0769521355

Internet computing and grid technologies promise to change the way we tackle complex problems. They will enable large-scale aggregation and sharing of computational, data and other resources across institutional boundaries. And harnessing these new technologies effectively will transform scientific disciplines ranging from high-energy physics to the life sciences. In this paper, a grid computing environment is proposed and constructed on multiple PC clusters by using Globus Toolkit (GT) and SUN Grid Engine (SGE). The experimental results are also conducted by using the matrix multiplication to demonstrate the performance. On the other hand, the approaches to deal with scheduling and load balancing on multiple heterogeneous PC clusters computer system are not mature. Self-scheduling schemes which are suitable for parallel loops with independent iterations on heterogeneous cluster computer system have been designed in the past. However, these schemes, such as FSS, GSS and TSS, can not achieve load balancing in extremely heterogeneous environment. We propose a heuristic approach based upon a two-phase scheme to solve parallel regular loop scheduling problem on an extremely heterogeneous grid computing environment.

关键词： Grid computing Processor scheduling Load management Internet Large-scale systems Physics Sun Search engines Concurrent computing Frequency selective surfaces

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Privacy preservation in social networks with sensitive edge weights

Privacy preservation in social networks with sensitive edge ...

引用

9th SIAM International Conference on Data Mining 2009, SDM 2009

作者： Liu, Lian Wang, Jie Liu, Jinze Zhang, Jun Laboratory for High Performance Scientific Computing and Computer Simulation Department of Computer Science University of Kentucky Lexington KY 40506-0046 United States Computer Science Department Minnesota State University Mankato 273 Wissink Hall Mankato MN 56001 United States Department of Computer Science College of Engineering University of Kentucky 237 Hardymon Lexington KY 40506-0046 United States

ISBN: (纸本)9781615671090

With the development of emerging social networks, such as Facebook and MySpace, security and privacy threats arising from social network analysis bring a risk of disclosure of confidential knowledge when the social network data is shared or made public. In addition to the current social network anonymity de-identification techniques, we study a situation, such as in a business transaction network, in which weights are attached to network edges that are considered to be confidential (e.g., transactions). We consider perturbing the weights of some edges to preserve data privacy when the network is published, while retaining the shortest path and the approximate cost of the path between some pairs of nodes in the original network. We develop two privacy-preserving strategies for this application. The first strategy is based on a Gaussian randomization multiplication, the second one is a greedy perturbation algorithm based on graph theory. In particular, the second strategy not only yields an approximate length of the shortest path while maintaining the shortest path between selected pairs of nodes, but also maximizes privacy preservation of the original weights. We present experimental results to support our mathematical analysis.

关键词： Graph theory

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Implementation of Monitoring and Information Service Using Ganglia and NWS for Grid Resource Brokers

Implementation of Monitoring and Information Service Using G...

引用

IEEE Asia-Pacific Conference on Services computing (APSCC)

作者： Chao-Tung Yang Tsui-Ting Chen Sung-Yi Chen High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan

Grid computing is increasingly used by organizations to achieve high performance computing and heterogeneous resources sharing. These grids may span several domain administrations via Internet. As a result of this, it may be difficult to monitor, control and manage those machines and resources. This paper aims at providing a multi-platform grid monitoring service which can monitor resources such as CPU speed and utilization, memory usage, disk usage, and network bandwidth in a real-time manner. Monitoring data is extracted form Ganglia and NWS tools then stored and transmitted in XML form and then used for displaying. All the information is displayed using real-time graphs.

关键词： Grid computing high performance computing Bandwidth Data mining computerized monitoring Condition monitoring Resource management XML Weather forecasting Chaos

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A dynamic file replication strategy in data grids

A dynamic file replication strategy in data grids

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IEEE Region 10 International Conference TENCON

作者： Chao-Tung Yang Chun-Pin Fu Chien-Jung Huang High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan

As large amount of data that is produced by scientific experiments and simulations, data grid is a very important and useful technique to solve these kinds of problems in this region. Data replication is one technique that many researchers discuss in past years in data grid. It can create many copies of file and stored in the appropriate location to shorten the time of getting the file. In this paper, we propose a dynamical maintenance service of replication to maintain the data in grid environment. Replicas will be adjusted to the appropriate location for using. The BHR algorithm is a strategy to maintain replica dynamically. We point out a scenario that the BHR algorithm will cause a mistake when it operates. That mistake will limit the speed of transferring file. We propose the Dynamic Maintenance Service is aimed at overcoming the mistake proposed. The contributions of this paper are that the data grid environment will be more efficiency by using DMS algorithm. And the experimental results show that the DMS algorithm is more efficient than other replication strategies.

关键词： Bandwidth Delay Grid computing Computational modeling Distributed computing Resource management computer networks high performance computing Chaos laboratories

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Construct a grid computing environment for bioinformatics

Construct a grid computing environment for bioinformatics

引用

International Symposium on Parallel Architectures, Algorithms and Networks (ISPAN)

作者： Yu-Lun Kuo Chao-Tung Yang Chuan-Lin Lai Tsai-Ming Tseng High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan

ISBN: (纸本)0769521355

Internet computing and grid technologies promise to change the way we tackle complex problems. They will enable large-scale aggregation and sharing of computational, data and other resources across institutional boundaries. And harnessing these new technologies effectively will transform scientific disciplines ranging from high-energy physics to the life sciences. The computational analysis of biological sequences is a kind of computation driven science. Cause the biology data growing quickly and these databases are heterogeneous. We can use the grid system sharing and integrating the heterogeneous biology database. As we know, bioinformatics tools can speed up analysis the large-scale sequence data, especially about sequence alignment. The FASTA is a tool for aligning multiple protein or nucleotide sequences. FASTA which we used is a distributed and parallel version. The software uses a message-passing library called MPl (Message Passing Interface) and runs on distributed workstation clusters as well as on traditional parallel computers. A grid computing environment is proposed and constructed on multiple Linux PC clusters by using Globus Toolkit (GT) and SUN Grid Engine (SGE). The experimental results and performances of the bioinformatics tool using on grid system are also presented in this paper.

关键词： Grid computing Bioinformatics Sequences Biology computing Large-scale systems Databases Internet Physics Proteins Software libraries

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Using spatial correlations in distributed video coding

Using spatial correlations in distributed video coding

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International Symposium on Artificial Intelligence and Signal Processing (AISP)

作者： Mahmood Fathy Mohammad Haqqani High Performance Computing Laboratory Computer engineering Department Iran University of Science and Technology Tehran Iran

Distributed video coding (DVC) is a new paradigm of coding that makes very interest to itself in the past decade. It's usually based on temporal correlations between successive frames which are called key frames. But this approach failed for high object motion in a scene and need very complex decoder to cover it. In this paper we propose a novel technique to use spatial correlation instead of temporal correlation in a frame by dividing a single frame to two sub frames which one of them is used as a key frame for generate side information at the decoder. Simulation results show a significant improvement on rate distortion parameter in DVC schema.

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The full steiner tree problem in phylogeny 8th

The full steiner tree problem in phylogeny

引用

8th Annual International Conference on computing and Combinatorics, COCOON 2002

作者： Lung Lu, Chin Yi Tang, Chuan Chia-Tung Lee, Richard National Center for High-Performance Computing P.O. Box 19-136 Hsinchu300 Taiwan Department of Computer Science National Tsing Hua University Hsinchu300 Taiwan Department of Computer Science and Information Engineering National Chi-Nan University Puli Nantou Hsien545 Taiwan

ISBN: (纸本)354043996X

Motivated by the reconstruction of phylogenetic tree in biology, we study the full Steiner tree problem in this paper. Given a complete graph G = (V,E) with a length function on E and a proper subset R ⊂ V, the problem is to find a full Steiner tree of minimum length in G, which is a kind of Steiner tree with all the vertices of R as its leaves. In this paper, we show that this problem is NP-complete and MAX SNPhard, even when the lengths of the edges are restricted to either 1 or 2. For the instances with lengths either 1 or 2, we give a (Formula presented)-approximation algorithm to find an approximate solution for the problem. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Approximation algorithms

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Design and implementation of a computational grid for bioinformatics

Design and implementation of a computational grid for bioinf...

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IEEE International Conference on e-Technology, e-Commerce and e-Service

作者： Chao-Tung Yang Yu-Lun Kuo Chuan-Lin Lai High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan

ISBN: (纸本)0769520731

The popular technologies, Internet computing and grid technologies promise to change the way we tackle complex problems. They enable large-scale aggregation and sharing of computational, data and other resources across institutional boundaries. And harnessing these new technologies effectively transforms scientific disciplines ranging from high-energy physics to the life sciences. The computational analysis of biological sequences is a kind of computation driven science. Cause the biology data growing quickly and these databases are heterogeneous. We can use the grid system sharing and integrating the heterogeneous biology database. As we know, bioinformatics tools can speed up analysis the large-scale sequence data, especially about sequence alignment and analysis. The FASTA is a tool for aligning multiple protein or nucleotide sequences. These two bioinformatics software, which we used is a distributed and parallel version. The software uses a message-passing library called MPI (message passing interface) and runs on distributed workstation clusters as well as on traditional parallel computers. A grid computing environment is proposed and constructed on multiple Linux PC clusters by using globus toolkit (GT) and SUN grid engine (SGE). The experimental results and performances of the bioinformatics tool using on grid system are also presented.

关键词： Grid computing Bioinformatics Biology computing Sequences Large-scale systems Databases Internet Physics Proteins Software libraries

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