Automatic Software Deployment in the Azure Cloud

  • Jacek Cała
  • Paul Watson
Conference paper

DOI: 10.1007/978-3-642-13645-0_12

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6115)
Cite this paper as:
Cała J., Watson P. (2010) Automatic Software Deployment in the Azure Cloud. In: Eliassen F., Kapitza R. (eds) Distributed Applications and Interoperable Systems. DAIS 2010. Lecture Notes in Computer Science, vol 6115. Springer, Berlin, Heidelberg


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 Specfication” (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.

Copyright information

© IFIP International Federation for Information Processing 2010

Authors and Affiliations

  • Jacek Cała
    • 1
  • Paul Watson
    • 1
  1. 1.School of Computing ScienceNewcastle UniversityNewcastle upon TyneUnited Kingdom

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