Tingan Tang

Gateway as a service: A cloud computing framework for web of things

The Web of Things concept has been proposed to integrate heterogeneous devices and provide a light-weight and easy-to-use way for application development by leveraging RESTful web services. However, Web of Things still does not address the issue of composition of physical resources, especially of how business process could be managed among different organizations to automate process of activities. On the other hand, cloud computing framework is based on web services technologies which focus on reusing and composing legacy resources to facilitate developing and managing IT systems. In this paper we have proposed the concept of Gateway as a Service which is a cloud computing framework for Web of Things. Within the proposed concept we introduce the technical architecture of three-layered stack based on study of an aging care use case. Implementations based on the aging care use case are also discussed and results are analyzed to illustrate the feasibility and reasonability of the proposed concept.

An internationally distributed ubiquitous living lab innovation platform for digital ecosystem research

There are an increasing number of information sources and services around us enabling new ways of interacting with our everyday environment. Examples include intelligent devices, sensors embedded in the environment and the emerging Internet-of-Things. Simultaneously users are becoming increasingly involved as information providers and consumers by means of Web 2.0 and social media. While these areas have gained a lot of attention recently and while the research on Digital Ecosystems has also dealt with these phenomena separately there seems to be need for research on the rich and complex ecosystem combining the sensor-based information sources with Web 2.0 and mobile services. In this paper, we propose a digital ecosystem architecture for ubiquitous campus Living Lab innovation platform which combines sensor based embedded system and social media based on the international collaboration between two long-term university Living Lab research projects in Finland and China. The paper focuses on the architecture design and implementation of the platform, and also discusses its implications to digital ecosystem research.

A digital ecosystem for boosting user-driven service business

In recent years, we have seen the rise of Web 2.0, where users become co-creators and software turns into services. While Web 2.0 technologies and concepts have been studied separately, we suggest that the digital ecosystem they form together and the ways in which users interact with it in social contexts have not been made explicit. In this paper, we provide a conceptual model of a community and a digital ecosystem for boosting user-driven service business. To construct such a model, we first identify the key actors and their interactions by applying use case modelling. Based on that, conceptual modelling is used to sketch an illustrative model of the overall ecosystem. Finally, we use the field of bioinformatics to evaluate the model and to propose ideas for boosting user-driven service business in that field as well.

Comparison of two local social media services in Finland and China by social network analysis

Social network analysis has been widely used in characterising user behaviours, social relationships, network evolution and service adoption of social media. However, previous research mostly focused on the famous global large scale social media such as Facebook, Wikipedia and Twitter. Comparatively, little research has been done for local social media. In this paper, we compare two similar campus-based social media for exchanging goods and services by social network analysis. We also explore the correlation between different social relationships (e.g., the friend relation and exchanging relation) and different user behaviours (e.g., the requesting and offering) by quadratic assignment procedure (QAP) and Pearson correlation analysis methods. Finally, we discuss our findings and future work.