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The Common Instrument Middleware Architecture (CIMA) project, supported by the NSF Middleware Initiative, aims at making scientific instruments and sensors remotely accessible by providing a general solution for services and user interfaces to remotely access data from instruments and to remotely monitor experiments. X-ray crystallography is one of several motivating applications for the development...
The increasing ability for the Earth sciences to sense the world around us is resulting in a growing need for data-driven applications that are under the control of data-centric workflows composed of grid- and Web-services. The focus of our work is on provenance collection/or these workflows, necessary to validate the workflow and to determine quality of generated data products. The challenge we address...
Grid and peer-to-peer (P2P) networks enable the sharing and aggregation of geographically distributed resources. Grids mostly deal with large computational problems and provide geographically distributed resources for large-scale data-intensive applications that generate large data sets, whereas P2P provides a way for sharing huge volumes of data. In a modern scientific computing, the communities...
Equipment grid is a highlight of grid application for sharing a lot of science equipments and experiment instruments. But the diversity of equipments is a troublesome problem, which influences the development and management of gird. The classifications for equipments may help the grids resolve the diversity of equipments. This paper presents an UDDI-based two-level information management system for...
We propose a novel approach for bi-criteria scheduling of scientific workflows on the grid, using dynamic programming to balance the trade-off between the two contradicting criteria. We determine the primary and the secondary criterion, and establish a flexible limit for the primary criterion. We identify different classes of criteria and adjust the solution for different variants of the problem
The following topics are dealt with: Web services-based grid applications; parallel and distributed multimedia; performance evaluation of networks for parallel, cluster and grid computing systems; wireless and sensor networks; compile and runtime techniques for parallel computing; embedded computing; high performance scientific and engineering computing
Consider a model developed by a multi-disciplinary team of scientists. This model will be used by researchers to support some scientific investigation. However, this investigation might be hampered if the researcher needs to interface (on the fly) with the members of the inter-disciplinary team responsible for the development of the model. The situation becomes more complicated if the following occurs:...
Analysis of large geographically distributed scientific datasets, also referred to as distributed data-intensive science, has emerged as an important area in recent years. An application that processes data from a remote repository needs to be broken into several stages, including a data retrieval task at the data repository, a data movement task, and a data processing task at a computing site. Because...
In response to a joint call from US's NSF and UK's EPSRC for applications that aim to utilize the combined computational resources of the US and UK, three computational science groups from UCL, Tufts and Brown Universities teamed up with a middleware team from NIU/Argonne to meet the challenge. Although the groups had three distinct codes and aims, the projects had the underlying common feature that...
Network transmissions in high performance networking scenarios, e.g., used for e-science or grid applications, require quality-of-service guarantees concerning bandwidth availability, but also timing constraints, e.g., deadlines, must be met. Current research efforts concentrate on supporting such environments with SLA-aware advance reservation management systems. Hence, the robustness of the management...
In this paper, we describe a problem solving environment (PSE) for grid computing called NAREGI-PSE in the NAREGI (National Research Grid Initiative) project, conducted by MEXT (Ministry of Education, Culture, Sports, Science and Technology) of Japan. NAREGI-PSE is researched and developed to support the scientists' works for scientific computer simulations on distributed Grid computers. NAREGI-PSE...
A new portal for running scientific numerical codes on the grid is presented. Particular emphasis is placed on portlet reusability and portability. We find that the JSR-168 standard is adequate for creating portable single portlets. For portals consisting on many portlets we present a simple, portable communication system. For grid-based portlets, coupling to a specific portlet container or service...
What is the semantic grid? How can e-Science benefit from the technologies of the semantic grid? Can we build a semantic Web for e-Science? Would that differ from a semantic grid? Given our past experiences with scientists, grid developers and semantic Web researchers, what are the prospects, and pitfalls, of putting semantics into e-Science applications and grid infrastructure?
The UNICORE grid technology provides a seamless, secure and intuitive access to distributed grid resources such as computational or storage related resources. In addition, its extensible character through application-specific plug-ins and its enhancements developed in various European-funded projects leads to the UNICORE technology that is used in daily production at many supercomputer centers and...
Over the last few years, grid technologies have progressed towards a service-oriented paradigm that enables a new way of service provisioning based on utility computing models. Users consume these services based on their QoS (quality of service) requirements. In such "pay-per-use" grids, workflow execution cost must be considered during scheduling based on users' QoS constraints. In this...
The following topics are discussed: e-Science and grid computing; production grids; resource management and scheduling; data management; Web services; security; P2P networking; innovative and collaborative problem solving environment in distributed resources; and scientific instruments and sensors
Effective integration of heterogeneous data sources has been studied as the most pressing challenge in various fields; such as, high energy physics, astronomy, and life sciences. In this talk, we present a data integration system by using Globus Toolkit with OGSA-DAI. For associating related data among many databases, we have introduced metadata based on their domain ontologies. Using the system one...
As the power of computational grids increases, there is a corresponding need for better usability in PSE community. In this paper, we describe our experiences on design of project GridPSi, a grid-enabled PSE for physical simulation. GridPSi provides a rich suite of functions that facilitate the composition of computational scripts to automate physical simulations by design domain-specific templates...
As the amount of scientific information available to researchers increases, the challenge of sifting through the information to find what is truly important to their work increases, as well. In this paper we describe ScienceSifter, a tool that addresses this challenge by enabling groups of researchers and channel editors to create and customize information feeds. Using ScienceSifter, users can combine...
Clusters of workstations are one of the most suitable resources to assist e-scientists in the execution of large-scale experiments that demand processing power. The utilization rate of these machines is usually far from 100%, and hence this should motivate administrators to share their clusters to grid communities. However, exploiting these resources in computational grids is challenging and brings...
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