Abstract
Cloud computing provides a cheap yet reliable outsourcing model for anyone who needs large computing resources. Together with the Cloud, Service Oriented Architecture (SOA) allows the construction of scientific workflows to bring together various scientific computing tools offered as services in the Cloud, to answer complex research questions. In those scientific workflows, certain critical steps need the participation of research personnel or experts. It is highly desirable that scientists have easy access, such as mobile devices, to the workflows running in the Cloud. Furthermore, since the participants in this cross-domain collaboration barely trust each other, achieving reliable data provenance becomes a challenging task. This book chapter aims to discuss these issues and possible solutions. In this book chapter, we describe a Mobile Cloud system with a trusted provenance mechanism. The Mobile Cloud system facilitates the use of mobile devices to manipulate and interact with the scientific workflows running in the Cloud. Moreover, it provides trusted data provenance by acting as a trusted third party to record provenance data submitted by the participating services during the workflow execution. We have implemented a prototype which allows the bioinformatics workflow design and participation using mobile devices. We prove the concept of Mobile Cloud with the prototype and conducted performance evaluation for the significant points of bioinformatics workflow platform.
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Yao, J., Zhang, J., Chen, S., Wang, C., Levy, D., Liu, Q. (2013). A Mobile Cloud with Trusted Data Provenance Services for Bioinformatics Research. In: Liu, Q., Bai, Q., Giugni, S., Williamson, D., Taylor, J. (eds) Data Provenance and Data Management in eScience. Studies in Computational Intelligence, vol 426. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29931-5_5
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DOI: https://doi.org/10.1007/978-3-642-29931-5_5
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