SCoTv2: Large Scale Data Acquisition, Processing, and Visualization Platform Internet of Things (IoT) solutions are becoming very popular since everything can now be processed through a technological service. Currently, data is digital information, creating the need to design platforms and services that fill the gap between data sensors and processing frameworks. IoT Platforms are responsible for attaching data sources with the remaining processing architecture. This paper presents a Machine to Machine (M2M) platform able to monitor data acquisition, processing, and visualization. The use of SCoTv2 allows users to integrate several sources and obtain relevant information only by connecting their sensors with the platform. As our preeminent goal is creating a large scale platform useful for several scenarios, a significant part of the study is related to software challenges, and the connection between technologies. Therefore, our principal contribution is the definition of effective architecture able to reply to different use cases.

WoT Store: Managing Resources and Applications on the Web of Things Abstract   The chaotic growth of the Internet of Things (IoT) determined a fragmented landscape with a huge number of devices, technologies and platforms available on the market, and the consequential issues of interoperability on many system deployments. The Web of Things (WoT) architecture recently proposed by the W3C consortium constitutes a novel solution to enable interoperability across IoT platforms and application domains. At the same time, in order to see an effective improvement, a wide adoption of the W3C WoT solutions from the academic and industrial communities is required; this translates into the need of welldefined and complete support tools easing the deployment of W3C WoT applications. In this paper, we meet such requirement by proposing the  WoT Store , a novel platform for managing and easing the deployment of Things and applications on the W3C WoT. The  WoT Store  allows the dynamic discovery of the resources available in the environment, i.e. the Things, and to interact with each of them through a dashboard, by visualizing their properties, executing commands or observing the notifications produced. In addition, similar to popular app stores, the  WoT Store  allows the search and execution of thirdparty WoT applications that interact with the available Things again in a seamless way. We validate the operations of our framework with two evaluation studies. First, through a smallcase testbed, we demonstrate the Thing discovery and the possibility to run WoT applications that orchestrate the operations of multiple, heterogeneous Wireless Sensor Networks (WSNs). Second, through a mixed realsimulated largescale crowdsensing scenario, we demonstrate the scalability of the platform, and the possibility to aggregate and visualize the datastreams produced by the WoT applications with minimal efforts for the users.