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Software Agents Meet Heterogeneous Ecosystems of Services and Resources for Controlling the Internet of Things

Abstract:

Service- and resource-oriented technologies have achieved a widely level of popularity and acceptance for the development of distributed systems. Most of the current processes executed on web, mobile and pervasive applications are generally developed by invoking heterogeneous services and resources through different models. This paper presents an analysis of the main approaches originated from the integration of Multiagent Systems (MASs) with service and resource architectures. The behavior of agents that explore and consume distributed services and resources on heterogeneous ecosystems was analyzed empirically in order to define a taxonomy of agents. Furthermore, a software tool for composing processes oriented to control IoT scenarios based on invoking services and resources is described. The experiments carried out show that the use of the artifice agent&services/resources is technically feasible and contributes significantly to the abstraction of the complexity of actions carried out in IoT environments.