Software architecture definition for on-demand cloud provisioning

  • Authors:

  • Clovis Chapman;Wolfgang Emmerich;Fermín Galán Márquez;Stuart Clayman;Alex Galis

  • Affiliations:

  • Dept. of Computer Science, UCL, London, UK;Dept. of Computer Science, UCL, London, UK;Telefónica I+D, Madrid, Spain;Dept. of Electronic Engineering, UCL, London, UK;Dept. of Electronic Engineering, UCL, London, UK

  • Venue:
  • Cluster Computing
  • Year:
  • 2012

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Abstract

Cloud computing is a promising paradigm for the provisioning of IT services. Cloud computing infrastructures, such as those offered by the RESERVOIR project, aim to facilitate the deployment, management and execution of services across multiple physical locations in a seamless manner. In order for service providers to meet their quality of service objectives, it is important to examine how software architectures can be described to take full advantage of the capabilities introduced by such platforms. When dealing with software systems involving numerous loosely coupled components, architectural constraints need to be made explicit to ensure continuous operation when allocating and migrating services from one host in the Cloud to another. In addition, the need for optimising resources and minimising over-provisioning requires service providers to control the dynamic adjustment of capacity throughout the entire service lifecycle. We discuss the implications for software architecture definitions of distributed applications that are to be deployed on Clouds. In particular, we identify novel primitives to support service elasticity, co-location and other requirements, propose language abstractions for these primitives and define their behavioural semantics precisely by establishing constraints on the relationship between architecture definitions and Cloud management infrastructures using a model denotational approach in order to derive appropriate service management cycles. Using these primitives and semantic definition as a basis, we define a service management framework implementation that supports on demand cloud provisioning and present a novel monitoring framework that meets the demands of Cloud based applications.