10215892
Implementation and evaluation of a Java based computational grid for bioinformatics applications
In the present study, THUBioGrid, an experimental distributed computing application for bioinformatics (BioGrid) is proposed. THUBioGrid incorporates directory services (data and software), grid computing methods (security, authentication, data transport and remote jobs), and gene sequence/genomic data processing methods. It uses Java CoG Kit plus bioinformatics Java packages to perform various computational tasks. The performance of THUBioGrid has been tested by executing the FASTA and mpiBLAST programs for protein sequence alignment applications. Results demonstrate the speed-up effects with increasing number of processors used in the computations.
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.
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.
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.
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.
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.
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.
2577694
Efficient acoustic index for music retrieval with various degrees of similarity
Content-based music retrieval research has mostly focused on symbolic data rather than acoustical data. Given that there are no general-purpose transcription algorithms that can convert acoustical data into musical scores, new methods are needed to do music retrieval on acoustical data. In this paper, we review some existing methods on contentbased music retrieval, discuss different definitions of music similarity, and present a new framework to perform music indexing and retrieval. The framework is based on an earlier prototype we developed, with significant improvements.In our framework known as MACSIS, each audio file is broken down into small segments and converted into feature vectors. All vectors are stored in a high-dimensional indexing structure called LSH, a probabilistic indexing scheme that makes use of multiple hashing instances in parallel. At retrieval time, small segments of audio matches are retrieved from the index and pieced together using the Hough Transform technique, and results are used as the basis to rank candidate matches.
968890
Measuring similarity of semi-structured documents with context weights
In this work, we study similarity measures for text-centric XML documents based on an extended vector space model, which considers both document content and structure. Experimental results based on a benchmark showed superior performance of the proposed measure over the baseline which ignores structural knowledge of XML documents.
45464184
Chemical Reaction Metaphor in Distributed Learning Environments
This paper presents an application of Chemical Reaction Metaphor (CRM) in agent-based distributed learning systems. The suitability of using CRM to model multi-agent systems is justified by CRM’s capacity in catching dynamic features of multi-agent systems in an e-learning environment. A case study in course material updating demonstrates how the CRM based language, Gamma language, can be used to specify the architecture of the learning environment. Finally, a discussion on the implementation of Gamma language in a distributed system is given.
15819383
Watermark design pattern for intellectual property protection in electronic commerce applications
We propose watermark design patterns to model the characteristics of digital watermarks in electronic commerce applications. A watermark design pattern preserves the properties of a digital watermark in a binary tree representation. Applying the survey results and characteristics of existing watermarking techniques, watermark design patterns for four media (data-video, image, audio, and text), are derived and expressed as WDP/sub video/, WDP/sub image/, WDP/sub audio/ and WDP/sub text/ respectively. Our results show that watermarks for video and audio data have to be invisible and robust, and watermarks for text data has to be invisible and fragile, while watermark for image has to be either visible and fragile, or invisible and robust for electronic commerce applications. The watermark design pattern is further used to relate electronic commerce applications and digital watermarking techniques. This facilitates electronic commerce application developers to select adequate digital watermarking techniques and off-the-shelf systems for their development.