44571521
Designing computing platform for BioGrid
Grid environment allows sharing of a large amount of idle resources of compute and other available information. Accordingly, we have set up the BioGrid for computing resources by combining grid technology with parallel bioinformatics applicable software in erecting the BioGrid computing platform. In one instance for example, biology data which is heterogeneous and grows rapidly, we plan to integrate and share it using grid technology. In this paper, the FASTA applicable software is used to test and analyse the grid environment to reduce time and improve efficacy. The experimental results and performances of the bioinformatics tool use on the grid system are also presented in this paper.
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.
7749374
A Performance-Based Approach to Dynamic Workload Distribution for Master-Slave Applications on Grid Environments
Effective workload distribution techniques can significantly reduce the total completion time of a program on grid computing environments. In this paper, we propose a dynamic performance-based workload partition approach for master-slave types of applications on grids. Furthermore, we implement two types of applications and conduct the experimentations on our grid testbed. Experimental results showed that our method could execute more efficiently than traditional schemes.
5672930
An e-Learning Platform Based on Grid Architecture
The overall popularity of the Internet has helped e-learning become a hot method for learning in recent years. Over the Internet, learners can freely absorb new knowledge without restrictions on time or place. Many companies have adopted e-learning to train their employees. An e-learning system can make an enterprise more competitive by increasing the knowledge of its employees. E-learning has been shown to have impressive potential in e-commerce. At present, most e-learning environment architectures use single computers or servers as their structural foundations. As soon as their work loads increase, their software and hardware must be updated or renewed. This is a big burden on organizations that lack sufficient funds. Thus, in this study we employ a kind of Grid Computing technology, called the ”Data Grid” to integrate idle computer resources in enterprises into e-learning platforms, thus eliminating the need to purchase costly high-level servers and other equipment.
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.
7849532
A Peer-to-Peer Resource Sharing System with Data Grid Technology for Mobile Devices
Increases in mobile device processing power, storage capacity, and connectivity in recent years have led to a rapid rise in mobile device use. But mobile users face challenges in making connections with other users in order to share resources. To address this issue, we propose an architecture that uses peer-to-peer protocol to establish a resource sharing platform for mobile devices, combined with a data grid to help analyze and classify resources.
1218659
Efficient discovery of error-tolerant frequent itemsets in high dimensions
We present a generalization of frequent itemsets allowing for the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifies error-tolerant frequent clusters of items in transactional data (customer-purchase data, web browsing data, text, etc.). The algorithm exploits sparseness of the underlying data to find large groups of items that are correlated over database records (rows). The notion of transaction coverage allows us to extend the algorithm and view it as a fast clustering algorithm for discovering segments of similar transactions in binary sparse data. We evaluate the new algorithm on three real-world applications: clustering high-dimensional data, query selectivity estimation and collaborative filtering. Results show that the algorithm consistently uncovers structure in large sparse databases that other traditional clustering algorithms fail to find.
17968973
Authoring Cases from Free-Text Maintenance Data
Automatically authoring or acquiring cases in the case-based reasoning (CBR) systems is recognized as a bottleneck issue that can determine whether a CBR system will be successful or not. In order to reduce human effort required for authoring the cases, we propose a framework for authoring the case from the unstructured, free-text, historic maintenance data by applying natural language processing technology. This paper provides an overview of the proposed framework, and outlines its implementation, an automated case creation system for the Integrated Diagnostic System. Some experimental results for testing the framework are also presented.
3116757
Intellectual Property Protection for Electronic Commerce Applications
Online content distribution businesses require methods to protect the intellectual property of distributed content. Intellectual property protection is a mechanism to protect the rights of ownership of original work so that no one can use the rights-protected work in any way without seeking permission for the use and, if necessary, paying the rights owners a royalty for the use. Digital watermarking is the core technology in electronic rights protection. However, research addressing the concerns of businesses about intellectual property protection schemes through watermarking is scarce. In this paper, we address these concerns by first introducing watermark design patterns (WDPs) for electronic commerce applications, then presenting problems of copyright protection using watermarking, and finally presenting management concerns. A WDP is defined as the requirements of a digital watermark for a particular type of distributed media content under the protection of its intellectual property. This paper introduces four WDPs for four types of media data - video, image, audio, and text and they are denoted as WDPvideo, WDPimage, WDPaudio and WDPtext respectively. The four WDPs are derived from the characteristics of watermarking techniques and the properties of a distributor’s web site. In our study, the proposed WDPs are used to relate the digital watermarking techniques to electronic commerce applications, and their relationships are presented graphically. The relationship diagram can facilitate electronic commerce application developers to select appropriate digital watermarking techniques and off-the-shelf systems for intellectual property protection on their web sites.
8997074
Applying Multi Agent Technology to Supply Chain Management
Supply Chain Management (SCM) is extremely important to the manufacturing and retailing industries. Profitability of enterprises in these two industries depends on the efficiency and effectiveness on they manage their supply chains. Information technology has been a key element in supporting supply chain management. As the access to the Internet becomes easier, managers are able to access real-time data and use decision support tools to support their decision making. In this paper, we investigate how multi-agent technology and constraint network can be integrated together to improve the efficiency and transparency of supply chain management. A multi-agent based supply chain management system has been developed to support communication, coordination, collaboration, and operation of different entities in supply chains. Which enabled the warehouses and plants to query and share information. A constraint network model has been applied to model the objectives and constraints of each entity in supply chains. Two experiments have been conducted to evaluate the usefulness and performance of the system with participation of a retailing firm. The results indicated that the proposed system has several benefits. For example, improve efficiency by saving time and efforts for decision makers as well as improve the quality and responsiveness of decision making by value-added services, such as, bullwhip detection agent.
33193327
An Improved Linear Syndrome Algorithm in Cryptanalysis With Applications
A new algorithm is developed for making attacks to certain comparatively simple LFSR based ciphersystems. Special attention is paid towards minimizing the solution distance and guaranteeing the success probability of the attacks. The algorithm is then applied to crack the random bit generators of Geffe (1973) and Beth-Piper (1984).