Automatic Software Deployment in the Azure Cloud

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  2. Dr Jacek Cala
  3. Professor Paul Watson
Author(s)Cala J, Watson P
Publication type Report
Series TitleSchool of Computing Science Technical Report Series
Year2010
DateJune 2010
Report Number1206
Pages17
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For application providers, cloud computing has the advantage that it reduces the administrative effort required to satisfy processing and storage requirements. However, to simplify the task of building scalable applications, some of the cloud computing platforms impose constraints on the application architecture, its implementation and tools that may be used in development; Microsoft Azure is no exception. In this paper we show how an existing drug discovery system --- Discovery Bus --- can benefit from Azure even though none of its components was built in the .Net framework. Using an approach based on the “Deployment and Configuration of Component-based Applications Specification” (D&C), we were able to assemble and deploy jobs that include different types of process-based tasks. We show how extending D&C deployment models with temporal and spatial constraints provided the flexibility needed to move all the compute-intensive tasks within the Discovery Bus to Azure with no changes to their original code.
InstitutionSchool of Computing Science, University of Newcastle upon Tyne
Place PublishedNewcastle upon Tyne
URLhttp://www.cs.ncl.ac.uk/publications/trs/papers/1206.pdf
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