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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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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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A Jacobi Collocation Method for the Fractional Ginzburg-Landau Differential Equation

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Advances in Applied Mathematics and Mechanics 2020年第1期12卷 57-86页

作者： Yin Yang Jianyong Tao Shangyou Zhang Petr V.Sivtsev Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing&Information Processing of Ministry of EducationSchool of Mathematics and Computational ScienceXiangtan UniversityXiangtanHunan 411105China Department of Mathematical Sciences University of DelawareNewarkDE 19716USA International Scientific and Research Laboratory of Multiscale Model Reduction and High Performance Computing Ammosov North Eastern UniversityKulakovskogo677013YakutskRussia

In this paper,we design a collocation method to solve the fractional Ginzburg-Landau equation.A Jacobi collocation method is developed and implemented in two ***,we space-discretize the equation by the Jacobi-Gauss-Lobatto collocation(JGLC)method in one-and two-dimensional *** equation is then converted to a system of ordinary differential equations(ODEs)with the time variable based on *** second step applies the Jacobi-Gauss-Radau collocation(JGRC)method for the time ***,we give a theoretical proof of convergence of this Jacobi collocation method and some numerical results showing the proposed scheme is an effective and high-precision algorithm.

关键词： The fractional Ginzburg-Landau equation Jacobi collocation method convergence

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A Network Bandwidth-Aware Job Scheduling with Dynamic Information Model for Grid Resource Brokers

A Network Bandwidth-Aware Job Scheduling with Dynamic Inform...

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IEEE Asia-Pacific Conference on Services computing (APSCC)

作者： Chao-Tung Yang Fang-Yie Leu Wen-Jen Hu High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan

In this paper, we propose a resource broker, which providing a friendly interface for accessing available and appropriate resources via user credentials, is developed on a platform constructed by employing the Globus toolkit. This broker not only deploys a domain-based network information model and its dynamic version to measure network status by invoking Network Weather Service (NWS) on grid computing environments, but also uses the Ganglia and NWS tools to monitor resource status and network-related information. Based on the actual value of network bandwidth and preserving the advantages of our previous model, a network bandwidth-award job scheduling algorithm for grid resource brokerage is then developed for communication-intensive job execution. Furthermore, the network information and resource status collected are all up-to-date so that the resource broker can effectively match appropriate grid resources and userspsila requests to improve execution.

关键词： Dynamic scheduling Grid computing Monitoring computer networks Bandwidth Portals computer interfaces Scheduling algorithm Resource management Collaborative work

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A shareable e-learning platform using data grid technology

A shareable e-learning platform using data grid technology

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

作者： Chao-Tung Yang Hsin-Chuan Ho Department of Computer Science and Information Engineering High-Performance Computing Laboratory Tunghai University Taichung Taiwan

Over the past decade, speed in the transmission of knowledge is no longer the way it used to be. Due to this influence, conventional educational methodology has also followed this trend and has gone through a momentous transformation. An excellent example is e-learning which has achieved and broken through the restrictions of time and space. In recent years it has become one of the most popular teaching methods. SCORM (Sharable Course Object Reference Model) the most popular e-learning standard has been adapted from many differing e-learning platforms. Normally, courseware meeting SCORM standards is sharable with other e-learning platforms. Most e-learning platforms however are unable to share courseware directly on the Internet. With this in mind, we have employed one type of grid computing technology called "data grid" in order to achieve this. This technology allows the integration of different SCORM platforms into a huge e-learning environment.

关键词： Electronic learning Grid computing Courseware Least squares approximation Education Energy management Internet Educational institutions Content management computer architecture

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performance Evaluation of SLIM and DRBL Diskless PC Clusters on Fedora Core 3

Performance Evaluation of SLIM and DRBL Diskless PC Clusters...

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

作者： Chao-Tung Yang Ping-I Chen Ya-Ling Chen High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan

In this paper, we introduce our experiments on SLIM and DRBL diskless PC clusters. We constructed them by using 16 machines and only one disk. We run the matrix multiplication and bioinformatics software to evaluate their performance. We find that the performance of SLIM has a great improvement, and the system setup time is much less than before. The network loading of DRBL is also very high. The system boot-up time is no difference between these two systems. The best way to construct the diskless Linux cluster is to eliminate the image size. It can make the nodes have more memory space to handle the program and ease the network loading.

关键词： Linux Network servers Space technology File systems Bioinformatics computer science Software performance Personal communication networks Hard disks Chaos

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Using grid computing and PVFS2 technologies for construction of an e-learning environment

Using grid computing and PVFS2 technologies for construction...

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International Conference on Advanced Learning Technologies (ICALT)

作者： Chao-Tung Yang Hsin-Chuan Ho Chien-Tung Pan High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan

In recent years, e-learning has become a popular method of learning. Generally, an e-learning platform which provided multi-media content required a high capacity storage device such as NAS (network attached storage) or SAN (storage area network). However, many schools with insufficient budgets cannot afford this type of expensive equipment. Thus, we employ grid computing and PVFS (parallel virtual file system) technology to integrate the idling storage resources in the school as a means to substitute the purchase of an expensive high-level storage server. In this research we will link several sets of PCs in the school to make them armed with the storage and computing capacity like that of a high-end server. We hope the goal of sharing and reuse of resources among the schools can be achieved.

关键词： Grid computing Electronic learning Educational institutions Education Space technology Storage area networks Material storage File systems Network servers Video on demand

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Decision tree construction for data mining on grid computing

Decision tree construction for data mining on grid computing

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

作者： Shu-Tzu Tsai Chao-Tung Yang High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan

ISBN: (纸本)0769520731

Decision tree is one of the frequently used methods in data mining for searching prediction information. Due to its characteristics which are suitable for parallelism, it has been widely adopted in high performance field and developed into various parallel decision tree algorithms to deal with huge data and complex computation. Following the development of other technology fields, grid computing is regarded as the extension of PC cluster and therefore it future research development is highly valued. This new wave of Internet application is the 3rd generation of Internet applications following the traditional Internet and Web application. We have presented a grid-based decision tree architecture, and hope it can be applied on both parallel and sequential algorithms for the decision tree applications. Also, based on the scope and model of data mining applied in grid environment as well as user equivalent perspective, grid roles can be categorized into three types. We are hoping that through these definitions, software developers can define clear system processes and differentiate the application scope for software applications. To fulfil our architecture, we first apply an existing parallel decision tree algorithm-SPRINT algorithm in the grid environment. The performance and differences in many other areas are compared using different sizes of dataset. The experimental results are used for future reference and further development.

关键词： Decision trees Data mining Grid computing Internet Application software Clustering algorithms computer architecture Parallel processing Concurrent computing high performance computing

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Implementation of a Diskless Cluster computing Environment in a computer Classroom

Implementation of a Diskless Cluster Computing Environment i...

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IEEE Asia-Pacific Conference on Services computing (APSCC)

作者： Chao-Tung Yang Wen-Feng Hsieh Hung-Yen Chen High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan

The objective of this paper is to implement and evaluate a cluster computing environment by clustering idle PCs (personal computer) with Diskless slave nodes on campuses in order to obtain the effectiveness of the largest computer potency. Two sets of cluster platforms BCCD and DRBL are used to compare parallel computing performance. The objective is to prove that DRBL has better performance than BCCD in this experiment. In order to achieve the objective of a platform for Free Software Teaching, DRBL is applied to the computer classroom, enabling PCs to be manually or automatically switched among different OS (operating system) of Windows, Free Software Teaching and PC Cluster. The bioinformatics program, mpiBLAST, is executed smoothly in the Cluster architecture as well. Through comparing various aspects of performance, including performance of Switch, Swap, this paper is attempted to find out the best Cluster environment in computer classroom at school. Finally, HPCC is used to demonstrate Cluster performance.

关键词： Parallel processing Linux Software maintenance Personal communication networks Education Operating systems Switches Educational institutions Hard disks Network servers

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A Data Grid File Replication Maintenance Strategy Using Bayesian Networks

A Data Grid File Replication Maintenance Strategy Using Baye...

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International Conference on Intelligent Systems Design and Applications (ISDA)

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

Data grids are a very important and useful technique for solving problems created by the large amounts of data scientific experiments and simulations produce. Data replication, a technique much discussed by data grid researchers in past years, creates multiple copies of files and stores them in convenient locations to shorten file access times. In this paper, we propose a dynamic replication maintenance service for maintaining data in grid environments. Replicas are adjusted to appropriate locations using Bayesian Networks (BN). The maintenance strategy we propose is called Implicit Dynamic Maintenance Service with Bayesian Network (IDMSBN).

关键词： Bayesian methods Grid computing Computational modeling computer networks Bandwidth Frequency Distributed computing Middleware Resource management Intelligent systems

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