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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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A Workflow-based Computational Resource Broker with Information Monitoring in Grids

A Workflow-based Computational Resource Broker with Informat...

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International Conference on Grid and Cooperative computing (GCC)

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

As grid computing becomes a reality, a resource broker is needed to manage and monitor available resources. This work presents a workflow-based computational resource broker whose main function is to match available resources with user requests and consider network information status during matchmaking. The resource broker provides a uniform interface for accessing available and the appropriate resources via user credentials. We utilize the NWS tool to monitor the network-related information and resources status. Also, we constructed a grid platform using Globus Toolkit that integrates the distributed resources of five universities in Taichung, Taiwan, where the resource broker is developed. As a result, the proposed broker provides secure and updated information about available resources and serves as a link to the diverse systems available in the grid

关键词： Grid computing Resource management Middleware Access protocols computerized monitoring Information security computer networks Portals computer interfaces Web services

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Predicting the flexibility of dynamic loop scheduling using an artificial neural network

Predicting the flexibility of dynamic loop scheduling using ...

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2013 IEEE 12th International Symposium on Parallel and Distributed computing, ISPDC 2013

作者： Srivastava, Srishti Malone, Brandon Sukhija, Nitin Banicescu, Ioana Ciorba, Florina M. Department of Computer Science and Engineering Mississippi State University MS United States Department of Computer Science Helsinki Institute for Information Technology University of Helsinki Helsinki Finland Center for Information Services and High Performance Computing Technische Universität Dresden Dresden Germany

ISBN: (纸本)9780769550183

In this paper, an artificial neural network (ANN) model is proposed to predict the flexibility (or robustness against system load fluctuations in heterogeneous computing systems) of dynamic loop scheduling (DLS) methods. The multilayer perceptron (MLP) ANN model has been used to predict the degree of robustness of a DLS method, given specific values for the problem size, the system size, and the characteristics of the system load fluctuations as a compound effect of the variations in the application's iteration execution times and the processor availabilities. The developed MLP ANN model can be useful in an effective selection of the most robust DLS technique for scheduling a certain type of scientific application onto a given set of non-dedicated heterogeneous processors, when their system load is expected to fluctuate unpredictably during the application's runtime. © 2013 IEEE.

关键词： Forecasting

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Developing an Automated Mechanism for Cluster computing in computerized Classroom

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Procedia computer science 2011年 4卷 2068-2075页

作者： Shuen-Tai Wang Chin-Hung Li Hsi-Ya Chang Ying-Chuan Chen Ching-Hsien Hsu National Center for High-Performance Computing Taiwan Department of Computer Science and Information Engineering Chung Hua UniversityTaiwan

Scientific computing has become one of the key players in the advance of modern science and technologies. In the meantime, due to the success of developments in processor fabrication, the computing power of Personal computer (PC) is not to be ignored as well. Lots of high throughput type of applications can be satisfied by using the current desktop PCs, especially for those in computerized classrooms, and leave the supercomputers for the demands from large scale high performance parallel computations. The goal of this work is to develop an automated mechanism for cluster computing to utilize the computing power such as resides in computerized classroom. The PCs in computerized classroom are usually setup for education and training purpose during the daytime, and shut down at night. After well deployment, these PCs can be transformed into a pre-configured cluster computing resource immediately without touching the existing education/training environment installed on these PCs. Thus, the training activities will not be affected by this additional activity to harvest idle computing cycles. To echo today's energy saving issues, a dynamic power management is also developed to minimize energy cost. This development not only greatly reduces the management efforts and time to build a cluster, but also implies the reduction of the power consumption by such a mechanism.

关键词： Personal computer cluster computing computerized classroom dynamic power management

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A performance-based Dynamic Loop Partitioning on Grid computing Environments

A Performance-based Dynamic Loop Partitioning on Grid Comput...

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IEEE International Conference on high performance computing and Communications (HPCC)

作者： Chao-Tung Yang Lung-Hsing Cheng High-Performance Computing Laboratory Department of Computer Science Tunghai University Taichung Taiwan

Loop scheduling on parallel and distributed systems has been a critical problem. Furthermore, it becomes more difficult to deal with on the emerging heterogeneous grid environments. In the past, some loop self-scheduling schemes have been proposed to be applicable to heterogeneous gird environments. In this paper, we propose a performance-based approach, which partitions loop iterations according to the performance weight of nodes. To verify the proposed approach, a grid testbed that consists four schools is built, and matrix multiplication example is implemented to be executed in this testbed. Experimental results show that the proposed approach performs better than previous schemes.

关键词： Grid computing Processor scheduling Dynamic scheduling Central Processing Unit Distributed computing Testing Clocks high performance computing Concurrent computing performance analysis

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Implementation of a Medical Image File Accessing System on Cloud computing

Implementation of a Medical Image File Accessing System on C...

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IEEE International Conference on Computational science and engineering, CSE

作者： Chao-Tung Yang Lung-Teng Chen Wei-Li Chou Kuan-Chieh Wang High-Performance Computing Laboratory Department of Computer Science Tunghai University Taichung Taiwan

Large scale cluster based on cloud technologies has been widely used in many areas, including the data center and cloud computing environment. The purpose of presenting the research paper in this field was to solve the challenge in Medical Image exchanging, storing and sharing issues of EMR (Electronic Medical Record). In recent years, many countries invested significant resources on the projects of EMR topics. The benefit of the EMR included: Patient-centered Care, Collaborative Teams, Evidence-based Care, Redesigned Business Processes, Relevant Data Capture and Analysis and Timely Feedback and Education. For instance, the ARRAHIT project in Untied States (2011-2015), Health Infoway project in Canada (2001-2015) and NHIP project in Taiwan, etc. Aim to the topic of EMR, we presented a system called MIFAS (Medical Image File Accessing System) to solve the exchanging, storing and sharing on Medical Images of crossing the different hospitals issues. Through this system we can enhance efficiency of sharing information between patients and their caregivers. Furthermore, the system can make the best-possible patient-care decisions.

关键词： Biomedical imaging Picture archiving and communication systems File systems Hospitals Cloud computing Hardware

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A Information Monitoring and Job Scheduling System for Multiple Linux PC Clusters

A Information Monitoring and Job Scheduling System for Multi...

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IEEE International Conference on Parallel and Distributed computing, Applications and Technologies (PDCAT)

作者： Chao-Tung Yang Chun-Sheng Liao Ping-I Chen Hao-Yu Tung Taiwan High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan

Managing and monitoring a cluster is both a tedious and challenging task, since each computing node is designed as a stand-alone system rather than a part of a parallel architecture. In this paper, a software system that allows the centralized administration of a generic Beowulf cluster is proposed. This system also provides Web services and applications to monitor multiple PC clusters with job submission and scheduling

关键词： Linux Portals Master-slave Concurrent computing Web services File servers Databases computerized monitoring Processor scheduling Job design

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A synchronized real-time linux based myrinet cluster for deterministic high performance computing and MPI/RT

A synchronized real-time linux based myrinet cluster for det...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： M. Apte S. Chakravarthi J. Padmanabhan A. Skjellum High Performance Computing Laboratory Department of Computer Science Mississippi State University USA

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A model-based approach to attributed graph clustering 12

A model-based approach to attributed graph clustering

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2012 ACM SIGMOD International Conference on Management of Data, SIGMOD '12

作者： Xu, Zhiqiang Ke, Yiping Wang, Yi Cheng, Hong Cheng, James School of Computer Engineering Nanyang Technological University Singapore Singapore Institute of High Performance Computing Singapore Singapore Department of Computer Science National University of Singapore Singapore Singapore Department of Systems Engineering and Engineering Management Chinese University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)9781450312479

Graph clustering, also known as community detection, is a long-standing problem in data mining. However, with the proliferation of rich attribute information available for objects in real-world graphs, how to leverage structural and attribute information for clustering attributed graphs becomes a new challenge. Most existing works take a distance-based approach. They proposed various distance measures to combine structural and attribute information. In this paper, we consider an alternative view and propose a model-based approach to attributed graph clustering. We develop a Bayesian probabilistic model for attributed graphs. The model provides a principled and natural framework for capturing both structural and attribute aspects of a graph, while avoiding the artificial design of a distance measure. Clustering with the proposed model can be transformed into a probabilistic inference problem, for which we devise an efficient variational algorithm. Experimental results on large real-world datasets demonstrate that our method significantly outperforms the state-of-art distance-based attributed graph clustering method. © 2012 ACM.

关键词： Data mining

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Verifiable data hiding scheme with tamper detection

Verifiable data hiding scheme with tamper detection

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作者： Kuo, Wen-Chung Wang, Chun-Cheng Kuo, Shao-Hung Wuu, Lih-Chyau Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Yunlin Taiwan National Center for High-performance Computing National Applied Research Laboratories Tainan Taiwan Institute for Information Industry Taipei Taiwan

Traditional digital image authentication is usually based on signature or fragile watermarks. This performs authentication without any secret hidden data. Until now, many image authentication schemes with error detection based on watermarks or signatures have been proposed. Tampering attack can be detected but the areas tampered with cannot be determined for these schemes. In order to improve this shortcoming, a verifiable data hiding scheme is proposed for digital images in this paper. The main idea of the proposed scheme is combining multi-bit encoding function and multi-group data hiding scheme to increase embedding capacity and strengthen security with parity check to verify the tampering of digital images having embedded secret messages. Therefore, there are three major contributions in our proposed scheme. First, it can achieve image tamper detection and find what has been modified. Second, it resists collage attack. Third, it can increase the embedding capacity. These contributions are discussed according to experimental results. The proposed scheme includes a high security to reduce detection of hidden data and the MSE analysis also proves this scheme has good image quality. © 2019 - IOS Press and the authors. All rights reserved

关键词： Authentication

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