Existing processes for patients' vital data collection require a great deal of labor work to collect, input and analyze the information. These processes are usually slow and errorprone, introducing a latency that prevents real-time data accessibility. This scenario restrains the clinical diagnostics and monitoring capabilities. We propose a solution to automate this process by using "sensors" attached to existing medical equipments that are inter-connected to exchange service. The proposal is based on the concepts of utility computing and wireless sensor networks. The information becomes available in the "cloud" from where it can be processed by expert systems and/or distributed to medical staff. The proof-of-concept design applies commodity computing integrated to legacy medical devices, ensuring costeffectiveness and simple integration.

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International audienceThere is a growing interest around the utilisation of cloud computing in education. As organisations involved in the area typically face severe budget restrictions, there is a need for cost optimisation mechanisms that explore unique features of digital learning environments. In this work, we introduce a method based on Maximum Likelihood Estimation that considers heterogeneity of IT infrastructure in order to devise resource allocation plans that maximise platform utilisation for educational environments. We performed experiments using modelled datasets from real digital teaching solutions and obtained cost reductions of up to 30%, compared with conservative resource allocation strategies

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3APL-M is a platform for building deliberative multi-agent systems whose components execute on handheld and embedded computational devices. The solution takes advantage of the 3APL language and definitions, delivers a methodology for building Belief-Desire-Intention inference systems and provides an interface to integrate the applications to the external world. The library is distributed for the Java 2 Micro Edition (J2ME) programming platform, which is widely adopted by the hardware manufactures and available for a myriad of mobile computing devices. The role of agent-based computing for mobile services is explained, the architecture and programming structures are presented and proof-of-concept applications are demonstrated.

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