Distributed Computing and Internet Technology: 9th by Ofer Feinerman, Amos Korman (auth.), Chittaranjan Hota,

By Ofer Feinerman, Amos Korman (auth.), Chittaranjan Hota, Pradip K. Srimani (eds.)

This publication constitutes the refereed lawsuits of the ninth foreign convention on disbursed Computing and web know-how, ICDCIT 2013, held in Bhubaneswar, India, in February 2013.
The forty complete papers provided including five invited talks during this quantity have been rigorously reviewed and chosen from 164 submissions. The papers hide quite a few learn elements in allotted computing, web know-how, machine networks, and computer learning.

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Additional resources for Distributed Computing and Internet Technology: 9th International Conference, ICDCIT 2013, Bhubaneswar, India, February 5-8, 2013. Proceedings

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Based on multimodal information (acceleration, audio samples, pictures, neighboring devices, and location) captured by the mobile phone, context information is inferred in various dimensions, including the user’s mood, location, and habits, as well as information about the currently performed activity and the environment. The inferred information is then posted as status message in social networks or translated into the virtual representation of participants in virtual worlds. Price Auditing. PetrolWatch [7] presents a system for automatic collection of fuel prices using embedded cameras in phones.

1 29 Principles of Energy Consumption How to Measure Mobile Energy Consumption? The research on energy efficient mobile applications has a strong empirical component. Of course, theoretical studies are possible but often the interactions and influencing factors are so complex that without experimentation it is hard to come up with any conclusive findings or improvements. Therefore, a key part of the research is measurements with different devices and with different solutions. For the energy consumption measurements at least four approaches seem to be available: 1.

The mobile phones can be exploited to document road and traffic condition. , potholes, bumps, or braking and honking (which are both implicit indicators of traffic congestion). The application integrates the provided information about the surface roughness of the roads, the surrounding noise, and the traffic conditions into traffic maps, which are available to the public. , data analysis and processing, ensuring data quality, protecting privacy, etc. We now present a short overview of the key research challenges posed by this new and exciting paradigm.

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