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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Galaxy + Hadoop: Toward a Collaborative and Scalable Image Processing Toolbox in Cloud
verfasst von : Shiping Chen, Tomasz Bednarz, Piotr Szul, Dadong Wang, Yulia Arzhaeva, Neil Burdett, Alex Khassapov, John Zic, Surya Nepal, Tim Gurevey, John Taylor
Erschienen in: Service-Oriented Computing – ICSOC 2013 Workshops
Verlag: Springer International Publishing
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With emergence and adoption of cloud computing, cloud has become an effective collaboration platform for integrating various software tools to deliver as services. In this paper, we present a cloud-based image processing toolbox by integrating Galaxy, Hadoop and our proprietary image processing tools. This toolbox allows users to easily design and execute complex image processing tasks by sharing various advanced image processing tools and scalable cloud computation capacity. The paper provides the integration architecture and technical details about the whole system. In particular, we present our investigations to use Hadoop to handle massive image processing jobs in the system. A number of real image processing examples are used to demonstrate the usefulness and scalability of this class of data-intensive applications.