Advances in New Technologies, Interactive Interfaces and by Francisco V. Cipolla Ficarra (auth.), Francisco

International

By Francisco V. Cipolla Ficarra (auth.), Francisco Cipolla-Ficarra, Kim Veltman, Domen Verber, Miguel Cipolla-Ficarra, Florian Kammüller (eds.)

This publication constitutes the completely refereed post-conference complaints of the second one overseas convention on Advances in New applied sciences, Interactive Interfaces, and Communicability, held in Huerta Grande, Argentina, in December 2011. The 24 papers provided have been conscientiously reviewed and chosen from quite a few submissions. the subjects addressed span the full spectrum of interactive layout, e-commerce, e-learning, e-health, e-tourism, net 2.0 and net 3.0.

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Extra info for Advances in New Technologies, Interactive Interfaces and Communicability: Second International Conference, ADNTIIC 2011, Huerta Grande, Argentina, December 5-7, 2011, Revised Selected Papers

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Our main hypothesis is that smartphones offer a good balance between the computing capabilities and battery depletion rate tradeoff inherent to mobile devices making them suitable for HPC computing. In the following paragraphs we focus on providing empirical evidence to test this hypothesis. Methodologically, the followed experimental approach consisted in comparing smartphones and standard mobile devices, namely netbooks and notebooks, in terms of hardware capabilities by employing classical scientific benchmarks.

Furthermore, since data stored in the EHR Infrastructure concern the health status of patients, they must be considered critical and their confidentiality and integrity must be protected by proper security support; thus, access control in EHR systems poses many challenges: the information is sensitive and highly confidential but it may be necessary to access it (for instance, in emergencies) [1]. : if the EHR should be created and for how long, who if anyone may access a specific document of the EH records, and the time interval when he/she can have access.

In particular, several researchers [5, 9, 13, 14] have studied task scheduling algorithms for mobile Grids. In this context, a large computational problem is split into several parts, which are computed independently by using many mobile devices. In particular, both [9] and [5] propose scheduling algorithms in which assigning resources to tasks involves solving large equations systems with variables that are difficult, if not impossible, to determine. In contrast, the work presented in [13] uses simple equations and easily estimable variables.

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