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Grid-based computing environments are becoming increasingly popular for scientific computing. One of the key issues for scientific computing is the efficient transfer of large amounts of data across the Grid. In this poster we present a Reliable File Transfer (RFT) service that significantly improves the efficiency of large-scale file transfer. RFT can(More)
With the emergence of " service oriented science, " the need arises to orchestrate various services to facilitate scientific investigation-that is, to create " science workflows. " In this paper we summarize our findings in providing a workflow solution for the caGrid service-based grid infrastructure. We choose BPEL and Taverna as candidate solutions, and(More)
BACKGROUND In biological and medical domain, the use of web services made the data and computation functionality accessible in a unified manner, which helped automate the data pipeline that was previously performed manually. Workflow technology is widely used in the orchestration of multiple services to facilitate in-silico research. Cancer Biomedical(More)
We originally posited the notion of science as a service in 2005 as a means of publishing and accessing scientific data and applications through internet accessible services [1]. At that time, researchers were only just grasping the benefits of employing the same service oriented architectures commonly used in other domains. Since this time we have indeed(More)
OBJECTIVE To develop software infrastructure that will provide support for discovery, characterization, integrated access, and management of diverse and disparate collections of information sources, analysis methods, and applications in biomedical research. DESIGN An enterprise Grid software infrastructure, called caGrid version 1.0 (caGrid 1.0), has been(More)
OBJECTIVE As biomedical technology becomes increasingly sophisticated, researchers can probe ever more subtle effects with the added requirement that the investigation of small effects often requires the acquisition of large amounts of data. In biomedicine, these data are often acquired at, and later shared between, multiple sites. There are both(More)
Modern biomedical data collection is generating exponentially more data in a multitude of formats. This flood of complex data poses significant opportunities to discover and understand the critical interplay among such diverse domains as genomics, proteomics, metabolomics, and phenomics, including imaging, biometrics, and clinical data. The Big Data for(More)
Due to the upcoming data deluge of genome data, the need for storing and processing large-scale genome data, easy access to biomedical analyses tools, efficient data sharing and retrieval has presented significant challenges. The variability in data volume results in variable computing and storage requirements, therefore biomedical researchers are pursuing(More)
Services computing technology enables scientists to expose data and computational resources wrapped as publicly accessible Web services. However, our study indicates that scientific services are currently poorly reused in an ad hoc style. This project aims to help domain scientists find interested services and reuse successful processes to attain their(More)