SD-WISE is a complete software-defined solution for wireless sensor (and actuator) networks (WSNs). SD-WISE has several unique features making it a flexible and expandable solution that can be applied in heterogeneous application domains. Its fundamental feature is that it provides software abstractions of the nodes' resources on both the controller and the nodes sides. By leveraging these abstractions, SD-WISE (i) extends the Software Defined Networking (SDN) approach to WSNs, introducing a more flexible way to define flows as well as the possibility to control the duty cycles of the node radios to increase energy efficiency; (ii) enables network function virtualization (NFV) in WSNs; (iii) leverages the tight interplay between trusted hardware and software to support regulation compliant behavior of sensor nodes. In this paper SD-WISE is introduced, its major operations are described, and its features are demonstrated in three relevant scenarios, thus assessing the effectiveness of the approach.A preliminary version of this paper was presented at IEEE Infocom 2015 with the title "SDN-WISE: Design prototyping and experimentation of a stateful SDN solution for wireless sensor networks".A.-C. Anadiotis is with the EPFL (work done during his time at CNIT UdR Catania).

Nowadays, journalism is facilitated by the existence of large amounts of digital data sources, including many Open Data ones. Such data sources are extremely heterogeneous, ranging from highly structured (relational databases), semi-structured (JSON, XML, HTML), graphs (e.g., RDF), and text. Journalists (and other classes of users lacking advanced IT expertise, such as most non-governmentalorganizations, or small public administrations) need to be able to make sense of such heterogeneous corpora, even if they lack the ability to de ne and deploy custom extract-transform-load work ows. These are di cult to set up not only for arbitrary heterogeneous inputs, but also given that users may want to add (or remove) datasets to (from) the corpus.We describe a complete approach for integrating dynamic sets of heterogeneous data sources along the lines described above: the challenges we faced to make such graphs useful, allow their integration to scale, and the solutions we proposed for these problems. Our approach is implemented within the ConnectionLens system; we validate it through a set of experiments.

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The gradually growing need for testbed use so as networking algorithms to be validated in real environments, has given rise to optimal utilization of testbed resources. Despite the fact that, many laboratories around the globe have deployed testbeds, so as experimenters have the opportunity to test their algorithms, the majority of those testbeds suffer from bad management that prevents users from efficiently exploiting testbed's resources. Moreover, as the number of testbed users increases, experimenters needs for more sophisticated allocation of testbed resources are growing. Toward, this direction, we propose a managerial framework that exploits testbed utilization by introducing slicing over frequency spectrum. This new framework will allow a more sophisticated way to optimally control and manage network resources of a testbed. Lab's website: http://nitlab.inf.uth.gr

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MPEG-M is a suite of ISO/IEC standards (ISO/IEC 23006) that has been developed under the auspices of Moving Picture Experts Group (MPEG). MPEG-M, also known as Multimedia Service Platform Technologies (MSPT), facilitates a collection of multimedia middleware APIs and elementary services as well as service aggregation so that service providers can offer users a plethora of innovative services by extending current IPTV technology toward the seamless integration of personal content creation and distribution, e-commerce, social networks and Internet distribution of digital media.

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