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Issue No.03 - May-June (2012 vol.38)
pp: 520-536
F. Cuadrado , Sch. of Electron. Eng. & Comput. Sci., Queen Mary Univ. of London, London, UK
The runtime management of the infrastructure providing service-based systems is a complex task, up to the point where manual operation struggles to be cost effective. As the functionality is provided by a set of dynamically composed distributed services, in order to achieve a management objective multiple operations have to be applied over the distributed elements of the managed infrastructure. Moreover, the manager must cope with the highly heterogeneous characteristics and management interfaces of the runtime resources. With this in mind, this paper proposes to support the configuration and deployment of services with an automated closed control loop. The automation is enabled by the definition of a generic information model, which captures all the information relevant to the management of the services with the same abstractions, describing the runtime elements, service dependencies, and business objectives. On top of that, a technique based on satisfiability is described which automatically diagnoses the state of the managed environment and obtains the required changes for correcting it (e.g., installation, service binding, update, or configuration). The results from a set of case studies extracted from the banking domain are provided to validate the feasibility of this proposal.
service-oriented architecture, computability, fault tolerant computing, banking domain, autonomous engine, services configuration, runtime management, service-based systems, dynamically composed distributed services, distributed elements, runtime resources, automated closed control loop, generic information model, runtime elements, service dependencies, business objectives, satisfiability, Runtime, Containers, Servers, Web services, Context, Business, Engines, service configuration., Autonomic systems, model-based management, satisfiability
F. Cuadrado, "An Autonomous Engine for Services Configuration and Deployment", IEEE Transactions on Software Engineering, vol.38, no. 3, pp. 520-536, May-June 2012, doi:10.1109/TSE.2011.24
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