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Service-oriented architectures are increasingly being used as the architectural style for creating large distributed computer applications. This paper examines the provision of visualization as a service that can be made available to application ...

In order to be profitable, service providers must be able to undertake complex management tasks such as provisioning, deployment, execution and adaptation in an autonomic way. This paper introduces a framework, the Semantically-Enhanced Resource ...

The integration of instruments with the Grid promotes scientific and business collaboration by allowing shared access to rare and expensive instrumentation, regardless of its physical location. Instruments on the Grid are virtualized resources similar ...

In scientific workflow systems, time related functionalities such as workflow scheduling and temporal verification normally require effective forecasting of activity durations due to the dynamic nature of underlying resources such as Web or Grid ...

Workflow technologies have become a major vehicle for the easy and efficient development of science applications. At the same time new computing environments such as the Cloud are now avaiable. A challenge is to determine the right amount of resources ...

In this paper we describe the provenance system built into the distributed Martlet middleware. Due to both the need for scientific reproducibility, and to determine exactly what has happened with any given piece of analysis, it is necessary for this ...

3-dimensional visualization is an integral part of satellite data processing and adds great value in terms of interpretation and effective presentation. 3D visualization requires large amount of data and compute power to map the data into underlying ...

Soundness property has been defined as the minimal correctness requirement that every business workflow must meet. The property guarantees the absence of livelocks, deadlocks, and other anomalies that can be detected without exact domain knowledge. In ...

There are various issues that limit the development and deployment of new software solutions in cancer image analysis research. In this paper we discuss some of these and propose a framework design based on cloud computing concepts, Microsoft ...

Workflows offer scientists a simple but flexible programming model at a level of abstraction closer to the domain-specific activities that they seek to perform. However, languages for describing workflows tend to be highly complex, or specialized ...

The security models used in Grid systems today strongly bear the marks of their diverse origin. Historically retrofitted to the distributed systems they are designed to protect and control, the security model is usually limited in scope and ...

The EPSRC pilot project Meeting the Design Challenges of nanoCMOS Electronics (nanoCMOS) is focused upon delivering a production level e-Infrastructure to meet the challenges facing the semiconductor industry in dealing with the next generation of '...

Many scientists maintain blogs and participate in online communities through their blogs and other scientists' blogs. This study used social network analysis methods to locate and describe online communities in science blogs. The structure of the ...

Grid workflows can produce thousands of results that should be properly organised to enable further analysis. Typically results are stored on locations hard-coded in the workflow or in the components, limiting reusability. In this paper we present an ...

Semantic inferencing and querying across large-scale RDF triple stores is notoriously slow. Our objective is to expedite this process by employing Google's MapReduce framework to implement scale-out distributed querying and reasoning. This approach ...

In the filed of semantic grid, QoS-based Web service composition is an important problem. In semantic and service rich environment like semantic grid, the emergence of context constraints on Web services is very common making the composition consider ...

Data analysis tasks at an Ocean Observatory require integrative and and domain-specialized use of database, workflow, visualization systems. We describe a platform to support these tasks developed as part of the cyberinfrastructure at the NSF Science ...

The need for large scale environmental monitoring to manage environmental change is well established. Ecologists have long used acoustics as a means of monitoring the environment in their field work, and so the value of an acoustic environmental ...

This paper considers metadata generation and tracking in a collaborative environment where users publish raw sensor data in the form of virtual sensors and post-process data by means of filtering, modeling, or query processing techniques. In the ...

Researchers at the Southern California Earthquake Center (SCEC) use large-scale grid-based scientific workflows to perform seismic hazard research as a part of SCEC's program of earthquake system science research. The scientific goal of the SCEC ...

Microarray technology is a high-throughput experimental technique that can measure expression levels of hundreds of thousands of genes simultaneously. To interpret massive data from gene-expression microarray experiments, biologists encounter ...

As computational techniques for tracking provenance have become more widely used, applications are beginning to produce large quantities of provenance information. Furthermore, many of these applications are composed from distributed components (e.g. ...

The authors have been leading the GEO Grid project since 2005. This project is primarily aiming at providing an e-Science infrastructure for the worldwide Earth Sciences community. The GEO Grid is designed to virtually integrate all relevant data as a ...

The myExperiment Virtual Research Environment supports the sharing of research objects used by scientists, such as scientific workflows. For researchers it is both a social infrastructure that encourages sharing and a platform for conducting research, ...