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Facing the Multicore-Challenge 1

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丛书名： Lecture Notes in computer science

1000年

作者： Rainer Keller David Kramer Jan-Philipp Weiss

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Inconsistencies among spectral robustness metrics 1

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14th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, Qshine 2018

作者： Wang, Xiangrong Feng, Ling Kooij, Robert E. Marzo, Jose L. Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft Netherlands Computing Science Department Institute of High Performance Computing A*STAR Singapore Singapore iTrust Centre for Research in Cyber Security Singapore University of Technology and Design Singapore Singapore Institute of Informatics and Applications University of Girona Girona Spain

ISBN: (数字)9783030144135

ISBN: (纸本)9783030144128

Network robustness plays a critical role in the proper functioning of modern society. It is common practice to use spectral metrics, to quantify the robustness of networks. In this paper we compare eight different spectral metrics that quantify network robustness. Four of the metrics are derived from the adjacency matrix, the others follow from the Laplacian spectrum. We found that the metrics can give inconsistent indications, when comparing the robustness of different synthetic networks. Then, we calculate and compare the spectral metrics for a number of real-world networks, where inconsistencies still occur, but to a lesser extent. Finally, we indicate how the concept of the R∗-value, a weighted sum of robustness metrics, can be used to resolve the found inconsistencies. © ICST Institute for computer sciences, Social Informatics and Telecommunications engineering 2019.

关键词： Circuit theory

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Using PVFS2 to Construct a Large File System in Data Grids

Using PVFS2 to Construct a Large File System in Data Grids

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

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

Grid technology is the great progress of network after Internet, since grid enables the integrated and collaborative use of distributed computing resources owned and managed by multiple organizations, available over a local or wide area network. In this paper, we provided a data grid platform with integrated storage to solve such data grid problems by using PVFS2 to increase the data storage space. The experimental results presented show the effectiveness of such proposed combination of technologies

关键词： File systems Space technology IP networks Collaboration Distributed computing computer network management Resource management Technology management Wide area networks Memory

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G-BLAST: a grid-based solution for mpiBLAST on computational grids

G-BLAST: a grid-based solution for mpiBLAST on computational...

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IEEE Region 10 International Conference TENCON

作者： Chao-Tung Yang Tsu-Fen Han Heng-Chuan Kan High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan National Center for High-performance Computing Southern Business Unit Tainan Taiwan

The researches of bioinformatics have grown with each passing day so that more and more computing power is required for better performance. These requires usually solved by parallelism techniques, because cluster technology can reduce the execution time and increase alignment efficiency. For example, mpiBLAST is a parallelism solution of NCBI BLAST via MPI parallel programming. However, most laboratories can not build up powerful supercomputing environments. They usually connect dozen of personal computers to build cluster computing environments. Besides, cluster usually is limited by local environment that leads to extend equipments difficulty. The concepts of grid can solve these problems. Grid environments coordinate the resources of distributed virtual organizations and satisfy a great many computational demands. In this paper, we have deployed a biogrid framework called G-BLAST. G-BLAST was designed for sequence alignment to use grid environment and access mpiBLAST application from a server node. Because grid environment is a heterogeneous environment, G-BLAST is endowed with selection the most adaptive work nodes, dynamic fragmenting database, and self-adjust performance data abilities. Furthermore, we also deployed a grid service portal and a grid service GUI desk application for normal users to submit jobs and host administrators to maintain their own work nodes, and the interaction between this application and G-BLAST meets WSRF standards.

关键词： Grid computing Bioinformatics Biology computing Databases Sequences Microcomputers Application software Concurrent computing Distributed computing Power engineering computing

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An novel two layer user identification method

An novel two layer user identification method

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IEEE International Conference on Intelligence and Security Informatics, ISI

作者： Wen-Pinn Fang Hong-Ru Lee Fang-Pan Line Department of Computer Science and Information Engineering Yuanpei University Taiwan National Center for High-Performance Computing Taiwan

This paper proposed a two layer authorization mechanism, including traditional password system and rhythm recognition. The whole system includes two phases: preprocessing and usual operation for users. In preprocessing phase, users type password in a specific rhythm in order to record and analyse the characteristics of behaviour of users. In the second phase, how to verify a user in usual operation is described. The main recognition procedure consists of two stages: password check and rhythm recognition separately. User shall input correct password in correct rhythm. Here rhythm is a sequence of beats with various time intervals in between. The beat is in correspondent with every key down event. In the authorization procedure, system will check ID and password first. At the same time, system will record all time intervals of key down events. After recording all time intervals, system compares the characteristics of the resultant rhythm with that in user database. If the distance is under some threshold of error tolerance, user will be authorized. Otherwise, entering system will not be approved. The proposed two layer authorization method successfully enhances the security and efficiency of password system. The proposed distance calculation enables our calculation to be much cost effective than that of other rhythm recognition methods.

关键词： Rhythm Information analysis Internet Partial response channels Databases Social network services Security Authorization Equations Artificial intelligence

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Imprecise Neural Computation in Real-Time Neural System Design

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IFAC Proceedings Volumes 1998年第14期31卷 123-128页

作者： John Sum Gilbert H. Young Wing-kay Kan High Performance Computing Laboratory Department of Computer Science and Engineering Chinese University of Hong Kong Shatin N. T. Hong Kong

In order to solve real-time control problems, a good software design together with an appropriate control scheme and a system identification method are extremely importance. To facilitate the software design to cope with such a time critical system, the concept of imprecise and approximate computation has been imposed and applied in real-time scheduling problems for more than a decade. Applying neural network to solve real-time problem is always a problem to neural network practitioners. In this paper, a principle for neural computation and real-time system 一 imprecise neural computation 一 will be presented. This principle extends the idea of imprecise computation in real-time systems by introducing concepts like mandatory neural structure and imprecise pruning. Using such concepts, it is able to design and analyze a real-time neural system for different real-time applications.

关键词： Imprecise computation Model complexity Neural computation Pruning Real-time systems Training

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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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Social Sensing for Personalized Orienteering Mediating the Need for Sociality and the Risk of COVID-19

IEEE Transactions on Technology and Society

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IEEE Transactions on Technology and Society 2022年第4期3卷 323-332页

作者： Pilato, Giovanni Persia, Fabio Ge, Mouzhi D'Auria, Daniela Institute for High Performance Computing and Networking National Research Council of Italy ICAR-CNR Palermo90146 Italy University of l'Aquila Computer Science and Mathematics Department of Information Engineering L'Aquila67100 Italy Deggendorf Institute of Technology Faculty of European Campus Rottal-Inn Deggendorf94469 Germany Free University of Bozen-Bolzano Faculty of Computer Science Bolzano39100 Italy

Orienteering or itinerary planning applications aim to optimize travel routes exploiting user preference and other constraints, such as time budget or traffic conditions. For these algorithms, it is essential to explore the user preference to predict potential Points-Of-Interest (POI) or touristic routes. However, user preference has been significantly affected by the COVID-19, since health concern plays a key trade-off role now. For example, people may try to avoid crowdedness, even if there is a strong social desire. However, most orienteering applications just focus on user preferences, thus paying less attention to the variety of the data inputs, which has become an essential factor for the utility of the application in the COVID-19 era. Therefore, this paper proposes a social sensing system that considers the trade-off between user preference and various factors, such as crowdedness, fear of being infected, knowledge of the COVID-19, POI features, and desire for socialization. The experiments are conducted on profiling user interests with Doc2Vec and FastText based on the Yelp dataset. Furthermore, the proposed system is modular and can be efficiently adapted to different applications for COVID-aware itinerary planning. © 2020 IEEE.

关键词： COVID-19

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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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Building an e-learning platform by access grid and data grid technologies

Building an e-learning platform by access grid and data grid...

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

作者： Hsin-Chuan Ho Chao-Tung Yang Chi-Chung Chang High-Performance Computing Lab Department of Computer Science and Information Engineering Tungahi University Taichung Taiwan National Dali Senior High School Taichung Taiwan

ISBN: (纸本)0769520731

Due to overall popularity of the Internet, e-learning has become a hot method of learning in recent years. Through the Internet, learners can freely absorb new knowledge without the restriction of time and place. Many companies have adopted e-learning to train their employees. The e-learning system can make an enterprise more competitive by increasing the knowledge of its employees. As we know, e-learning has become one of the most potential e-commerce businesses. At present, most e-learning environment architectures are in consideration of a single computer or server as its erecting foundation. As soon as its workload increases, the software and hardware need to be updated or renewed; this is a big burden to a company with insufficient budget. Thus, in this research we employ a kind of grid computing technology, called "access grid", to integrate the idle computer resources in an enterprise into an e-learning platform for substituting the purchase of costly high-level server and equipment. The access grid supports group-to-group communication via high-speed networking over the Internet. It provides high quality audio and real-time video interactive interface for e-learning users. All the hardware cost is reasonable so that companies or academies can easily set up their own access grid node. By using access grid technologies, enterprises can integrate their training materials into knowledge repository such as "data grid" as the e-learning VOD platform so that the knowledge can be shared and published more flexibly and widely.

关键词： Electronic learning Companies Internet Hardware Grid computing computer architecture Network servers Web server high-speed networks IP networks

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