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Workflow is an important way to mashup reusable software services to create value-added data analytics services. Workflow provenance is core to understand how services and workflows behaved in the past, which knowledge can be used to provide a better recommendation. Existing workflow provenance management systems handle various types of provenance separately. A typical data science exploration scenario,...
The need for collaborative data analytics increases significantly when confronted with the challenges of big data. Although workflow tools offer a formal way to define, automate, and repeat multi-step computational procedures, designing complex data processing workflow requires collaboration from multiple people with complementary expertise. Existing tools are not suitable to support collaborative...
In the paradigm of service oriented science, scientific computing applications and data are all wrapped as web accessible services. Scientific workflows further integrate these services to answer complex research questions. However, our earlier study conducted on myExperiment has revealed that although the sharing of service-based capabilities opens a gateway to resource reuse, in practice, the degree...
With the advances of e-Science, scientific workflow has become an important tool for researchers to explore scientific discoveries. Although several scientific workflow management systems (SWFMSs) have been developed, their support of exception handling is still limited. In this paper, we introduce our approach of exception handling in the VIEW scientific workflow management system. We propose an...
The concept of Service Oriented Architecture (SOA) enables flexible and dynamic collaborations among different service providers. Backed up by SOA, scientific workflows can bring together various scientific computing tools and resources all offered as services to answer complex research questions. However, studies conducted on my Experiment show that although the sharing of service-based capabilities...
The wide use of Web services and scientific workflows has enabled bioinformaticians to reuse experimental resources and streamline data processing in a Web-scale manner. This paper presents a follow-up work of our network analysis on my Experiment, an online scientific workflow repository. The motivation comes from two common questions proposed by bio-scientists: 1) Given services which I plan to...
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