40839198
A Recursive-Adjustment Co-allocation Scheme in Data Grid Environments
The co-allocation architecture was developed in order to enable parallel downloads of datasets from multiple servers. Several co-allocation strategies have been coupled and used to exploit rate differences among various client-server links and to address dynamic rate fluctuations by dividing files into multiple blocks of equal sizes. However, a major obstacle, the idle time of faster servers having to wait for the slowest server to deliver the final block, makes it important to reduce differences in finish time among replica servers. In this paper, we propose a dynamic co-allocation scheme, namely Recursive-Adjustment Co-Allocation scheme, to improve the performance of data transfer in Data Grids. Our approach reduces the idle time spent waiting for the slowest server and decreases data transfer completion time.
5823907
Building an e-learning platform by access grid and data grid technologies
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.
36980746
Decision tree construction for data mining on grid computing
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.
12951016
A shareable e-learning platform using data grid technology
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.
32464432
An Enhanced Parallel Loop Self-Scheduling Scheme for Cluster Environments
In this paper, a parallel loop self-scheduling scheme for heterogeneous PC cluster systems is proposed. Though the proposed scheme does allow users to choose parameters before the execution initialization phase, there are still weaknesses that motivate us to go further with new improvements in that scheme. For instance, a decision on a fixed and monotonous parameter can easily lead to invalid schedule by using previous input information. Thus, it is proposed in this paper a new scheme, where the scheduling parameter can be adjusted dynamically and fit into most widely available computer systems, in order to provide higher overall performance.
5072535
A Workflow-based Computational Resource Broker with Information Monitoring in Grids
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
15657957
Automatic Summarization of Chinese and English
As a result of the rapid growth in Internet access, significantly more information has become available online in real time. However, there is not sufficient time for users to read large volumes of information and make decisions accordingly. The problem of information-overloading can be resolved through the application of automatic summarization. Many summarization systems for documents in different languages have been implemented. However, the performance of summarization system on documents in different languages has not yet been investigated. In this paper, we compare the result of fractal summarization technique on parallel documents in Chinese and English. The grammatical and lexical differences between Chinese and English have significant effect on the summarization processes. Their impact on the performances of the summarization for the Chinese and English parallel documents is compared.
7536937
An algorithm for all-du-path testing coverage of shared memory parallel programs
Little attention has focused on applying traditional testing methodology to parallel programs. This paper discusses issues involved in providing all-du-path coverage in shared memory parallel programs, and describes an algorithm for finding a set of paths covering all define-use pairs. To our knowledge, this is the first effort of this kind.
43794915
A Parallel Library for Large-Scale Sparse Eigenvalue Calculation on NEC SX-4
40640034
Applying Collision Avoidance Expert System to Navigation Training Systems as an Intelligent Tutor
To enhance the skills of captains and improve the existing training technologies, it is very important and urgent to research and develop an intelligent navigation training system. Therefore we propose to incorporate a collision avoidance expert system into real-time ship handling simulator to provide intelligent decision-making support for navigation training. The intelligent tutor aims to assist the trainee to master necessary skills for handling ship in complex navigating environments such as open sea, restricted waterway, and rough sea conditions by sharing multiple captains' experience. In this paper, the developed collision avoidance expert system will be outlined, then the proposed intelligent decision-making support for navigation training will be presented in details.
14257802
Terrorism and Crime Related Weblog Social Network: Link, Content Analysis and Information Visualization
A Weblog is a Web site where entries are made in diary style, maintained by its sole author - a blogger, and displayed in a reverse chronological order. Due to the freedom and convenience of publishing in Weblogs, this form of media provides an ideal environment as a propaganda platform for terrorist groups to promote their ideologies and as an operation platform for organizing crimes. In this work, we present a framework to analyze and visualize Weblog social network embedded beneath relevant Weblogs gathered through topic-specific exploration. Link analysis uses the relationships between bloggers to construct the Weblog social network. Content analysis associates similar blog messages to unveil implicit relationships found in the semantics to further improve the Weblog social network analysis. Users can use different interactive information visualization techniques to explore various aspects of the underlying social network at different levels of abstraction. With the capability of analyzing and visualizing Weblog social networks in terrorist and crime related matters, intelligence agencies and law enforcement will be able to have an additional tools and means to ensure the national security.