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The other major change is to the way Facebook application profiles are dealt with.
In this paper, we propose a model for mobile application profiles, wireless interfaces, and cloud resources.
It welcomes "application profiles": more specific specifications built on top of DCAT.
The binary is then analyzed to set up the list of application profiles.
To determine the overall power consumption of an application a, all application profiles must be considered.
While application profiles can be modeled at different levels of granularity, a reasonable starting point is creating application profiles on a basis of symbols, which correspond to functions or objects.
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c Exemplary application profile (RAM).
It's application profiling, resource profiling coupled with autonomic learning.
b Simplified application profile using an access probability.
d Simplified application profile using read and write probabilities.
Figure 2 b shows the resulting, simplified application profile.
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