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A resource broker for computing nodes selection in grid computing environments 3rd

3rd International Conference on Grid and Cooperative computing, GCC2004

作者： Yang, Chao-Tung Lai, Chuan-Lin Shih, Po-Chi Li, Kuan-Ching High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung407 Taiwan Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Shalu Taichung433 Taiwan

ISBN: (纸本)3540235647

As Grid computing is becoming a reality, there is a need for managing and monitoring the available resources worldwide, as well as the need for conveying these resources to the everyday user. This paper describes a resource broker with its main function as to match the available resources to the user’s needs. The use of the resource broker provides a uniform interface to access any of the available and appropriate resources using user’s credentials. The resource broker runs on top of the Globus Toolkit. Therefore, it provides security and current information about the available resources and serves as a link to the diverse systems available in the Grid. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Grid computing

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Scenario mechanism in agent-oriented programming

Scenario mechanism in agent-oriented programming

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Asia-Pacific Conference on Software Engineering

作者： Rui Shen Ji Wang H. Zhu National Laboratory for Parallel and Distributed Processing Changsha China Department of Computing Oxford Brookes University Oxford UK

Scenario has been used to describe agent behaviors in the context of environment situations in the specification languages for agent-based systems, such as SLABS. It becomes an important language facility in the declaration of an agent for specifying its behaviors in its environment. Therefore, towards agent-oriented programming, it is necessary to introduce and implement scenario mechanism in programming languages. This paper reports our attempts to support the language facility from the view of programming languages, and presents an approach to facilitating the scenario mechanism in agent-oriented programming. The basic idea is to extend object-oriented programming language to support agent-oriented programming, where Java is chosen as the base language. Firstly, the language framework of agent-oriented programming, SLABSp is presented, mostly conforming to SLABS, whose syntax is extended based on Java. Scenario mechanism is introduced as the new feature in the programming language. Secondly, the underlying object models are defined to serve as the semantics of the language, where agents are modeled by a couple of objects. A compiler has been built to compile the agent-oriented programs into Java. A running platform has been constructed as the multiagent runtime environment of SLABSp.

关键词： Slabs Computer languages Java Object oriented modeling Object oriented programming Multiagent systems Specification languages Program processors Runtime environment Formal specifications

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An efficient parallel loop self-scheduling on grid environments

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IFIP International Conference on Network and parallel computing, NPC 2004

作者： Yang, Chao-Tung Cheng, Kuan-Wei Li, Kuan-Ching High Performance Computing Laboratory Dept. of Computer Science and Information Engineering Tunghai University Taichung407 Taiwan Parallel and Distributed Processing Center Dept. of Computer Science and Information Management Providence University Shalu Taichung433 Taiwan

ISBN: (纸本)3540233881

The approaches to deal with scheduling and load balancing on PC-based cluster systems are famous and well-known. Self-scheduling schemes, which are suitable for parallel loops with independent iterations on cluster computer system, they have been designed in the past. In this paper, we propose a new scheme that can adjust the scheduling parameter dynamically on an extremely heterogeneous PC-based cluster and grid computing environments in order to improve system performance. A grid computing environment consists of multiple PC-based clusters is constructed using Globus Toolkit and SUN Grid Engine middleware. The experimental results show that our scheduling can result in higher performance than other similar schemes. © IFIP International Federation for Information Processing 2004.

关键词： Scheduling

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Grid computing in China

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Journal of Grid computing 2004年第2期2卷 193-206页

作者： Yang, Guangwen Jin, Hai Li, Minglu Xiao, Nong Li, Wei Wu, Zhaohui Wu, Yongwei Tang, Feilong Department of Computer Science and Technology Tsinghua University Beijing China School of Computer Huazhong University of Science and Technology Wuhan China Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China Key Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China College of Computer Science Zhejiang University Hangzhou 310027 China

Grid computing presents a new trend to distributed computation and Internet applications, which can construct a virtual single image of heterogeneous resources, provide uniform application interface and integrate widespread computational resources into super, ubiquitous and transparent aggregation. In the adoption of Grid computing, China, who is facing more resource heterogeneity and other specific demands, has put much effort on both research and practical utilization. In this paper, we introduce the major China Grid research projects and their perspective applications. First we give the overview of the four government-sponsored programs in Grid, namely the China National Grid, ChinaGrid, NSFC Grid, and ShanghaiGrid. Then we present six representative ongoing Grid systems in details, which are categorized into Grid middleware and Grid application. This paper provides the general picture of Grid computing in China, and shows the great efforts, devotion and confidence in China to use Grid technology to boost the society, economics and scientific research. © Springer 2004.

关键词： Grid computing

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On the performance of Maestro2 high performance network equipment, using new improvement techniques

On the performance of Maestro2 high performance network equi...

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IEEE International Conference on Performance, computing and Communications (IPCCC)

作者： S. Yamagiwa K. Ferreira L.M. Campos K. Aoki M. Ono K. Wada M. Fukuda L. Sousa PDM&FC Lisboa Portugal Parallel and Distributed Computing Laboratory University of Tsukuba Tsukuba Ibaraki Japan Computing and Software Systems UW1-331 University of Washington Bothell Bothell WA USA IST/INESC Lisboa Portugal

Cluster computers have become the vehicle of choice to build high performance computing environments. To fully exploit the computing power of these environments, one must utilize high performance network and protocol technologies, since the communication patterns of parallel applications running on clusters require low latency and high throughput, not achievable by using off-the-shell network technologies. We have developed a technology to build high performance network equipment, called MaestroS. This paper describes the novel techniques used by Maestro2 to extract maximum performance from the physical medium and studies the impact of software-level parameters. The results obtained clearly show that Maestro2 is a promising technology, presenting very good results both in terms of latency and throughput. The results also show the large impact of software overhead in the overall performance of the system and validate the need for optimized communication libraries for high performance computing.

关键词： High performance computing Delay Throughput Vehicles Computer networks Concurrent computing Protocols Communications technology Application software Communication system software

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On design of cluster and grid computing environment toolkit for bioinformatics applications

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3326卷 82-87页

作者： Yang, Chao-Tung Kuo, Yu-Lun Li, Kuan-Ching Gaudiot, Jean-Luc High Performance Computing Laboratory Dept. of Computer Science and Information Engineering Tunghai University Taichung 40744 Taiwan Parallel and Distributed Processing Center Dept. of Computer Science and Information Management Providence University Taichung 43301 Taiwan Parallel and Scalable Computer Architecture Laboratory Dept. of Electrical Engineering and Computer Science University of California - Irvine Irvine CA 92697 United States

In this paper, we present BioGrid, a novel computing resource that combines advantages of grid computing technology with bioinformatics parallel applications. The grid environment permits the sharing of a large amount of idle computing resources and data. The investigation of bioinformatics demands orders of magnitude of computing resources and in parallel, the biological data are growing in such a high speed. By using BioGrid, we plan to integrate and share resources and biological data using the grid computing technology. Still in this paper, the well-known FASTA application is performed as matter of testing and analysis in our grid computing platform, as goal to show the improved efficiency and reduced computation time. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Bioinformatics

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Applying linux high-availability and load balancing servers for Video-on-Demand (VOD) systems

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3332卷 455-462页

作者： Yang, Chao-Tung Wang, Ko-Tzu Li, Kuan-Ching Lee, Liang-Teh High Performance Computing Laboratory Dept. of Computer Science and Information Engineering Tunghai University Taichung 407 Taiwan Parallel and Distributed Processing Center Dept. of Computer Science and Information Management Providence University Taichung 433 Taiwan Dept. of Computer Science and Engineering Tatung University Taipei 104 Taiwan

In this research paper, we integrate and implement High-Availability (HA) and Load-Balancing technologies to clusters of workstations, increasing both the availability and scalability of services and resources in these systems. The cluster of workstations is commonly built and used as web-based VOD servers. Thus, this paper presents the hardware and software configurations of cluster systems working as VOD servers. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Linux

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On Implementation of a scalable wallet-size cluster computing system for multimedia applications

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3333卷 697-704页

作者： Lee, Liang-Teh Li, Kuan-Ching Yang, Chao-Tung Tseng, Chia-Ying Liu, Kang-Yuan Hung, Chih- Dept. of Computer Science and Engineering Tatung University Taipei 104 Taiwan Parallel and Distributed Processing Center Dept. of Computer Science and Information Management Providence University Taichung 433 Taiwan High Performance Computing Laboratory Dept. of Computer Science and Information Engineering Tunghai University Taichung 407 Taiwan Networks and Multimedia Institute Institute for Information Industry Taipei 106 Taiwan

In order to obtain a low-cost, low-power consumption and small sized digital home processing center, especially for multimedia applications, we propose a scalable wallet-size cluster computing system in this paper. Such system uses low-cost, low-power consumption and small sized microprocessors as computing nodes to form a cluster system. The main reason why we are interested to investigate and build such system is to increase the computing power and to accelerate the H.264 video processing. We analyzed the H.264 decoder scheme and distributed the most heavy-load computations in the decoder scheme to each computing node (or microprocessor) of the cluster system for the processing of signals, in parallel. To run multimedia applications in this cluster system, an efficient real-time video processing is implemented. © Springer-Verlag 2004.

关键词： computing power

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A distributed Multi-Storage Resource Architecture and I/O Performance Prediction for Scientific computing

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Cluster computing 2003年第3期6卷 189-200页

作者： Shen, X. Choudhary, A. Matarazzo, C. Sinha, P. Center for Parallel and Distributed Computing Department of Electrical and Computer Engineering Northwestern University Evanston USA Lawrence Livermore National Laboratory Livermore USA

I/O intensive applications have posed great challenges to computational scientists. A major problem of these applications is that users have to sacrifice performance requirements in order to satisfy storage capacity requirements in a conventional computing environment. Further performance improvement is impeded by the physical nature of these storage media even when state-of-the-art I/O optimizations are employed. In this paper, we present a distributed multi-storage resource architecture, which can satisfy both performance and capacity requirements by employing multiple storage resources. Compared to a traditional single storage resource architecture, our architecture provides a more flexible and reliable computing environment. This architecture can bring new opportunities for high performance computing as well as inherit state-of-the-art I/O optimization approaches that have already been developed. It provides application users with high-performance storage access even when they do not have the availability of a single large local storage archive at their disposal. We also develop an Application Programming Interface (API) that provides transparent management and access to various storage resources in our computing environment. Since I/O usually dominates the performance in I/O intensive applications, we establish an I/O performance prediction mechanism which consists of a performance database and a prediction algorithm to help users better evaluate and schedule their applications. A tool is also developed to help users automatically generate performance data stored in databases. The experiments show that our multi-storage resource architecture is a promising platform for high performance distributed computing.

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Noncontiguous I/O accesses through MPI-IO 03

Noncontiguous I/O accesses through MPI-IO

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IEEE/ACM International Symposium on Cluster computing and the Grid (CCGRID)

作者： A. Ching A. Choudhary K. Coloma Wei-keng Liao R. Ross W. Gropp Center for Parallel and Distributed Computing Northwestern University Evanston IL USA Argonne National Laboratory Argonne IL USA

ISBN: (纸本)9780769519197

I/O performance remains a weakness of parallel computing systems today. While this weakness is partly attributed to rapid advances in other system components, I/O interfaces available to programmers and the I/O methods supported by file systems have traditionally not matched efficiently with the types of I/O operations that scientific applications perform, particularly noncontiguous accesses. The MPI-IO interface allows for rich descriptions of the I/O patterns desired for scientific applications and implementations such as ROMIO have taken advantage of this ability while remaining limited by underlying file system methods. A method of noncontiguous data access, list I/O, was recently implemented in the parallel Virtual File System (PVFS). We implement support for this interface in the ROMIO MPI-IO implementation. Through a suite of noncontiguous I/O tests we compared ROMIO list I/O to current methods of ROMIO noncontiguous access and found that the list I/O interface provides performance benefits in many noncontiguous cases.

关键词： File systems Testing distributed computing Mathematics Computer science Laboratories parallel processing Programming profession Tiles Checkpointing

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