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El autor Tommi Mikkonen ha publicado 3 artículo(s):

1 - JET: A Proof of Concept Enabling Mobile Devices as Personal Profile Providers

In recent years smartphone users have increased the number of cloud services and platforms used from them. These platforms and services are usually used, by users, to interact with others people and, by
the mobile telephony firms, to create a sociological profile of the people and, thus, achieving a more adapted advertising. However, the information uploaded to these platforms is usually very similar. Uploading it to every platform entails an irrational consumption of the device resources.
But, if it is not the same, the sociological profiles created could be inconsistent. The capabilities of current smartphones enable them to keep all the owner’s information and to provide services for accessing it. To achieve such paradigm shift new tools and platforms are needed. This paper reports a proof of concept of a mobile application that creates and stores the sociological profiles of their users, allowing them to send messages based on those profiles. The use of this new paradigm reduces the consumption of the smartphone resources and facilitates the creation of comprehensive sociological profiles.

Autores: Javier Berrocal / Carlos Canal / Jose Garcia-Alonso / Niko Mäkitalo / Tommi Mikkonen / Javier Miranda / Juan M. Murillo / 
Palabras Clave: mobile computing - Smartphones - Sociological Profiles

2 - Towards Collaborative Human-Centric CPS

The massive involvement of human in Cyber-Physical Systems is to a large extend managed through their smart devices. So far, these devices have been used as simple set of sensors capable of capturing the users context and uploading it to a central server. However, this architecture leads to a high consumption of the device’s resources. Consumption that is dramatically increased when similar data are used in several CPS. Nevertheless, smart devices even increasing storage and computing capacities allow them to take a more active role in these systems. This paper presents an architecture where smart devices are treated as the bridge between the physical world and the cyber space. In this architecture, smart devices store and infer the user contextual and sociological information, reacting to the state of the user or collaborating with other computational infrastructures. This architecture enables the development of human-centric CPS with clear social orientation.

Autores: Javier Berrocal / Carlos Canal / Jose Garcia-Alonso / Juan Hernádez / Niko Mäkitalo / Tommi Mikkonen / Juan M. Murillo / 
Palabras Clave: CPS - Human-Cetric CPS - mobile computing

3 - Early analysis of resource consumption patterns in mobile applications (Summary)

The success or failure of a mobile application largely depends on the resources it consumes. A resource-intensive application will quickly be rejected by its users. One of the most important aspects that determines this consumption is the software architecture applied in its development. However, which architecture is the most efficient depends on the application’s behaviour.

With the aim of providing mobile developers information on what architectural style consumes fewer resources for each application, in this work we analysed the resources consumed by two applications, each of them built with two different architectures (a server-centric architecture and a mobile-centric architecture) in order to identify under which situation each architecture is more efficient. We observed that, for these cases, as the number of interactions with external entities grows, the more efficient becomes a server-centric architecture. Instead, a mobile-centric architecture is more efficient if the data to be shared has to be updated frequently or if there are few external entities involved.

In addition, by generalizing the analysis of the two applications, a conceptual framework was created with which to analyse the consumption pattern of any applications in their early development phases. This framework can be used to estimate a particular application’s consumption with different architectures, or to predict its consumption under future evolution of the app.

Autores: Javier Berrocal / Jose Garcia-Alonso / Cristina Vicente-Chicote / Juan Hernández / Tommi Mikkonen / Carlos Canal / Juan M. Murillo / 
Palabras Clave: