With the advent of connected services ecosystems, new generations of services and systems are being conceived, responding to the ever growing demands of the market place. In parallel, the effective adoption of the Cloud computing paradigm is becoming an essential enabler for business enterprises. With such importance placed on the services ecosystem, the design and management of services becomes a key issue both for the providers and the users. One of the main challenges for service providers lies in the complexity of the services, comprising of a multiplicity of technologies and competing and cooperating providers, which is difficult to address through current technology-centric service design approaches, in particular for the deployment infrastructure. The work described in this paper lays a foundation for business driven service design by proposing a business goals driven model of resource allocation in the Cloud. We define a goal/loss/processing cost function for resource allocation that we optimize, while taking into account the dynamic and varying nature of requests load.

Business-Driven Optimization of Component Placement for Complex Services in Federated Clouds

TORTONESI, Mauro
2014

Abstract

With the advent of connected services ecosystems, new generations of services and systems are being conceived, responding to the ever growing demands of the market place. In parallel, the effective adoption of the Cloud computing paradigm is becoming an essential enabler for business enterprises. With such importance placed on the services ecosystem, the design and management of services becomes a key issue both for the providers and the users. One of the main challenges for service providers lies in the complexity of the services, comprising of a multiplicity of technologies and competing and cooperating providers, which is difficult to address through current technology-centric service design approaches, in particular for the deployment infrastructure. The work described in this paper lays a foundation for business driven service design by proposing a business goals driven model of resource allocation in the Cloud. We define a goal/loss/processing cost function for resource allocation that we optimize, while taking into account the dynamic and varying nature of requests load.
Business-Driven IT Management; Cloud Computing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2005412
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