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In this paper, we describe the Vannotea system - an application designed to enable collaborating groups to discuss and annotate collections of high quality images, video, audio or 3D objects. The system has been designed specifically to capture and share scholarly discourse and annotations about multimedia research data by teams of trusted colleagues within a research or academic environment. As such,...
In this paper we present the design and implementation of the mission-oriented USLHCNet for HEP research community and the UltraLight network testbed. The design philosophy for these networks is to help meet the data-intensive computing challenges of the next generation of particle physics experiments with a comprehensive, network-focused approach. Instead of treating the network as a static, unchanging...
This paper introduces the concept of a User Programmable Virtualized Network, which allows networks to deliver application specific services using network element components that developers can program as part of a users application. The use of special tokens in data or control packets is the basis of a practical, yet powerful security and AAA framework. This framework allows for implementations with...
Informatics in biomedicine is becoming increasingly interconnected via distributed information services, interdisciplinary correlation, and crossinstitutional collaboration. Partnering with NASA, the Early Detection Research Network (EDRN), a program managed by the National Cancer Institute, has been defining and building an informatics architecture to support the discovery of biomarkers in their...
Large-scale scientific research often relies on the collaborative use of Grid and e-Science infrastructures that provide computational or storage related resources. One of the ideas of these modern infrastructures is to facilitate the routine interaction of scientists and their workflows with advanced problem solving tools and computational resources. While many production Grid projects and e-Science...
This paper describes the progress of developing a Grid-based system for product design optimizations to increase the engineer?s productivity by saving him tedious, manual, and error-prone work of organizing, maintaining, submitting and monitoring computational workflows comprising hundreds of jobs in a heterogeneous distributed environment. The approach is that once the optimization process is interactively...
Many important and fundamental questions in biology and biochemistry can be better understood through investigations performed at the protein-ligand or drugreceptor level. A variety of techniques have been used over the years, and it is an area of active research. In this paper we illustrate an approach that leverages a number of different computational chemistry approaches, and combines these with...
Collaborative environments where users can interact with running simulations are an important aspect of e- Science. To achieve efficient execution of High Level Architecture (HLA)-based collaborative environments on the Grid, we introduce a Grid HLA Management System (GHLAM) for their management. This is done by introducing migration and monitoring mechanisms for such applications. In this paper we...
This paper introduces a Grid software architecture offering fault tolerance, dynamic and aggressive load balancing and two complementary parallel programming paradigms. Experiments with financial applications on a real multi-site Grid assess this solution. This architecture has been designed to run industrial and financial applications, that are frequently time constrained and CPU consuming, feature...
While great strides have been made in the field of grid middleware technology, difficulties deploying and configuring current grid middleware technologies from an end user perspective have led to many of the people who would benefit most from the technology, namely application scientists, to avoid using it. In response to this we have developed the Application Hosting Environment (AHE), a lightweight,...
With the proliferation of Grid computing, potentially vast computational resources are available for solving complex problems in science and engineering. However, writing, deploying, and testing e-Science applications over highly heterogeneous and distributed infrastructure are complex and error prone. Further complicating matters, programmers may need to target a variety of different Grid middleware...
Modern scientific experiments can generate large amounts of data, which may be replicated and distributed across multiple resources to improve application performance and fault tolerance. Whilst a number of different replica management systems exist, particular communities usually adopt a single system. This creates problems when an application program spans more than one community, because it may...
Grid technology can offer a powerful infrastructure for a broad spectrum of (scientific) application areas, but the uptake of grids by "real' applications has been slow. Several aspects contribute to this scenario, among them a large gap between the communities that develop and use the technology. While grid developments focus mostly on functionality, usability issues are also very important...
This paper presents a new approach to the issues of performance monitoring and visualization of distributed applications using the J-OCM monitoring system. We are focusing on the building of a GUI measurement-oriented tool with a flexible functionality, Java Measurement Tool (JMT) on top of J-OCM which provides an OMIS-based monitoring interface. The tool addresses the issues of user-defined metrics...
Effective scientific data management is crucial for e-Science applications. Scientific data management raises challenging requirements: (1) support for not only experimental data but also context data, (2) both schema evolution and integration, (3) and compatibility with legacy data management conventions or environments. In this paper, we present a scientific data management system (called XSIGMA)...
In this paper, we describe a peer-to-peer storage system called Sector that is designed to access and transport large data sets over wide area high performance networks. We also describe our recent experience using Sector to distribute the Sloan Digital Sky Survey BESTDR4 catalog data.
Many areas of science currently use computing resources as a important part of their research, and many research groups adopt cluster architecture to use them efficiently and manage them easily. Therefore, faulttolerance becomes a very important property for the computing resources. However, fault-tolerant systems have not yet been widely adopted because they are either hard to deploy, hard to use,...
Bioinformatics algorithms such as sequence alignment methods based on profile-HMM (Hidden Markov Model) are popular but CPU-intensive. If large amounts of data are processed, a single computer often runs for many hours or even days. High performance infrastructures such as clusters or computational Grids provide the techniques to speed up the process by distributing the workload to remote nodes, running...
Escience technologies are designed to address problems arising in the practice of computational science. The outcome of computational science is the generation of data, and a significant portion of these problems concern Information Delivery: the process of disseminating data across virtual organizations, and of contextualizing that data so that relevant quantities may be extracted and examined with...
GRID superscalar provides a very easy to use programming environment for enabling applications on the grid. Although the system already has many features, there are some areas that we wanted to enhance. In this paper we present a new version of GRID superscalar based on code annotations that includes full renaming support for scalar, array and structure parameters. We also present a tracing mechanism...
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