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
Mobile devices have become increasingly popular in the everyday life of many individuals. By taking an insight into the most common uses of mobile devices we clearly appreciate that accessing internetbased services has grown greatly. This, and the fact that they are extremely personal gadgets has turned them into the main interface used by individuals to express themselves towards the outside world and to receive information from others. As a result of the highly personal use, mobile devices have been granted the potential to become unrivaled devices for building and storing the virtual profiles of their owners. Access to such profiles is of great interest in fields such as governance, health, smart cities, etc. Generating a centralized profile of a user is a task upon which a lot of interest has been put in the field of social mining. Peopleas-a-Service (PeaaS) is a computing model that seeks to establish the foundations upon which technologies that rely on mobile-centric computing models for social purposes should evolve.
Autores: Jose Garcia-Alonso / Javier Miranda / Javier Berrocal / Juan Manuel Murillo / Carlos Canal /
Palabras Clave: Mobile devices - People as a Service - Sociological Profiles
Whilst cloud computing has burst into the current scene as a technology that allows companies to access high computing rates at limited costs, cloud vendors have rushed to provide tools that allow developers to build software for their cloud platforms. Cloud applications are developed using those tools, which provide different cloud-specific APIs, libraries, and even different project structures that vary depending on which cloud platform the software will be hosted. Consequently, applications developed with these tools are often tightly coupled to those platform’s specific service implementations and restrictions. A scenario where component-based applications are developed for being deployed across several clouds, and each component can independently be deployed in one cloud or another, remains fictitious due to the complexity and the cost of their development.
This paper presents a cloud development framework that allows applications to be constructed as a composition of software components (cloud artefacts), where each component can be freely migrated between cloud platforms without having to redevelop the entire application. Information about cloud deployment and cloud integration is separated from the source code and managed by the framework. Interoperability between interdependent components deployed in different clouds is achieved by means of software adapters which automatically generate services and service clients. This allows software developers to segment their applications into different modules that can easily be deployed and redistributed across heterogeneous cloud platforms. This paper also analyzes the results of using the proposed framework in the development of an industrial research project as a validation of the approach.
This work has been published in the Journal of Systems and Software 86(9), 2294-2308 (2013).
Autores: Javier Miranda / Juan Manuel Murillo / Carlos Canal /
Developing software for the cloud usually implies using the tools and libraries supplied by cloud vendors for each of their platforms. This strongly couples the software to specific platforms and penalizes its migration or interoperability with external cloud services, in what is known as vendor lock-in. Under these circumstances multicloud applications become difficult to build and maintain since they require multidisciplinary teams with expertise on multiple platforms, and the redevelopment of some components if the cloud deployment scenario is altered. The MULTICLAPP framework described in this paper tackles these issues by presenting a three-stage development process that allows multicloud applications to be developed without being coupled to any concrete vendor. MDE and adaptation techniques are used throughout the software development stages in order to abstract the software from each vendor’s service specifications. As a result of this, multicloud applications or their subcomponents can be reassigned to different cloud platforms without having to undergo a partial or complete redevelopment process.
Autores: Joaqúin Guillén / Javier Miranda / Juan Manuel Murillo / Carlos Canal /