Abstract. Knowing how value creation is understood and managed by Big Data-based companies can be a key strategy to boost business. The typical process of identifying value creation in organizations is quite complex, since it involves internal and external factors to them. In Big Data scenarios, we should also consider the uncertainty about future processes of value creation, regarding the trends inferred by predictive analytics processes. Big Data environments operate in a scale of large volumes of parallel-processed data; and aim to generate relevant information that otherwise would be impossible for traditional systems, especially if we expect good performance of transaction speed and of coping with the extensive variety of data types, inherent to such environments. In order to properly identify and work with the idea of value in their businesses, Big Data-based companies have thus far more challenging hurdles to overcome. This paper proposes a survey of the creation of value in such environments. For this purpose, we undertook a theoretical study, which relied in a qualitative method approach of bibliographical, exploratory and descriptive nature. Finally, since this work is still on progress and it is not yet a conclusive proposal, we aim to compare our preliminary results to the typical perception of value creation, found in the literature.

Today’s complex design projects require teams of designers to come together to facilitate the sharing of their respective expertise in order to produce effective design solutions. Due to the increasing need for exchanging knowledge, modern design projects are even more structured to work with virtual distributed teams that collaborate over computer networks to achieve global optima in design. This article presents an architecture where collaborative design is synchronously and generically achieved. That is, where particular representation models are transformed into ontology instances and merged together in order to accomplish the final product design. It is a synchronous approach because the merging process is undertaken at the same time that interaction among designers takes place. As supporting technologies, Web Ontology Language and Web Services are used to implement such an architecture.

The increasing adoption of the Internet of things and cloud computing in recent years provided the increasing development and improvement of various well-known approaches, such as the ambient assisted living approach. The merging of Internet of things and cloud brought about the so-called CloudIoT paradigm. CloudIoT intends to extend both technologies to make possible developing the next generation of smart environments, such as healthcare applications. New healthcare applications demand an increasing capacity of resources for storing, processing, and transmitting data. Looking at this scenario, along with the growing number of devices connected to the Internet of things, we must consider providing mechanisms to mitigate the excessive data offloading on the network, the latency between nodes, and even the unnecessary waste of computing power. In this article, we present an efficient and effective CloudIoT-based healthcare architecture for ambient assisted living environments. The innovation of our approach lies on the use of a game theory approach (by means of a stochastic search algorithm) to improve efficiency and latency of the CloudIoT network. This proposal aims to provide better availability levels to the whole environment. Experiments performed through simulation have shown us a remarkable improvement of network parameters, by applying a stochastic search algorithm called Gur game, when compared to a baseline application.

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