Abstract. We present an intelligent embodied conversation agent with linguistic, social and emotional competence. Unlike the vast majority of the state-of-the-art conversation agents, the proposed agent is constructed around an ontology-based knowledge model that allows for flexible reasoning-driven dialogue planning, instead of using predefined dialogue scripts. It is further complemented by multimodal communication analysis and generation modules and a search engine for the retrieval of multimedia background content from the web needed for conducting a conversation on a given topic. The evaluation of the 1st prototype of the agent shows a high degree of acceptance of the agent by the users with respect to its trustworthiness, naturalness, etc. The individual technologies are being further improved in the 2nd prototype.
Abstract-DemandResponse is a mechanism used in power grids to manage customers' power consumption during critical situations (e.g. power shortage). Data centres are good candidates to participate in Demand Response programs due to their high energy use. In this paper, we present a generic architecture to enable Demand Response between Energy Provider and Data Centres realised in All4Green. To this end, we show our three-level concept and then illustrate the building blocks of All4Green's architectural design. Furthermore, we introduce the novel aspects of GreenSDA and GreenSLA for Energy Provider-Data centre sub-ecosystem as well as Data centre-IT Client sub-ecosystem respectively. In order to further reduce energy consumption and CO2 emission, the notion of data centre federation is introduced: savings can be expected if data centres start to collaborate by exchanging workload. Also, we specify the technological solutions necessary to implement our proposed architectural approach. Finally, we present preliminary proof-of-concept experiments, conducted both on traditional and cloud computing data centres, which show relatively encouraging results. I. OVERVIEWWith the energy consumption of ICT mushrooming for some decades, and data centres at the heart of this development, a lot of research has been dedicated to this huge problem for environmental health and resource depletion. However, it turns out that data centres are not only part of the problem but also one key to its solution because the energy challenge is both, a problem of energy consumption and a problem of power consumption: In times of low supply and high demand, extra power needs to be provided at high environmental cost, in times of high supply (e.g. through wind and sun) and low demand, superfluous energy suppliers are cut off the electricity net. The project All4Green1 shows that data centres with their huge power hunger can play a role in solving this challenge. To this end, the data centre is viewed as part of an ecosystem consisting of ICT users deploying services in the data centre, electrical power providers, and data centres cooperating in a federated way. By establishing a collaborative scheme within this eco-system through green contracts supported by an underlying signalling technology, All4Green tackles both goals: It aims at saving CO 2 emissions by enabling a cleaner energy mix for the energy consumption of a data centre. And additionally it will reduce this energy consumption by 10%.All4Green relevant actors in the system, as illustrated in Fig. 1 The All4Green approach is based on a three-levels-concept
This paper shows how XML can be used for static and dynamic analysis of architectures. Our analysis is based on the distinction between symbolic and semantic models of architectures. The core of a symbolic model consists of its signature that specifies symbolically its structural elements and their relationships. A semantic model is defined as a formal interpretation of the symbolic model. This provides a formal approach to the design of architectural description languages and a general mathematical foundation for the use of formal methods in enterprise architectures. For dynamic analysis we define transformations of models of architectures, modeled in XML, and for this purpose the XML vocabulary for an architecture is extended with a few constructs defined in the Rule Markup Language (RML). There are RML tools available that perform the desired transformations.
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