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Learning software agents are able to assist Cloud providers in taking decisions about resource management at any level, as they are able to collect knowledge and improve their performances over time by means of learning strategies. On the other hand Cloud Federations allow providers to share computational infrastructures in order to build a distributed, interoperable multi-cloud context. In this work...
This paper proposes a trust model for a competitive federation of Cloud computing systems. The reference scenario is a large-scale environment in which different Cloud providers compete in offering their pay-per-use XaaS (Anything as a Service) resources to the various users. In this context, to obtain the assignment of a user request, providers may state to possess more resources than the amount...
Cloud Computing is the reference model for IT specialists offering high quality services in a pay-per-use fashion. Architectures and protocols for Cloud Federations have been designed to meet emerging requirements of Cloud infrastructure. In such a context IT providers can mutually rent virtual resources and exchange metadata in order to get more opportunity. In this paper we define VST - Virtual...
In an agent-based cloud scenario, when two agents, provided with different ontologies exchange messages to negotiate a Service Level Agreement for a cloud service, they could fail to understand both the correct meaning of their messages and the offered service quality, due to the differences present in their ontologies. In all these cases, a semantic negotiation is required to reciprocally making...
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