An experimental analysis on cloud based mobile augmentation in mobile cloud computing

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An experimental analysis on cloud based mobile augmentation in mobile cloud computing IEEE PROJECTS 2014 ----------------------------------- Contact:+91-9994232214 :+91-8144199666 Email:ieeeprojectchennai@gmail.com http://www.projectsieee.com Support: ------------- Projects Code Documentation PPT Projects Video File Projects Explaintion Teamviewer Suppport

Educação

An experimental analysis on cloud-based
mobile augmentation in mobile cloud
computing
Recent consumer electronic technologies have created momentous ground for smartphones in various
domains, particularly healthcare and education. However, smartphones' miniature nature imposes
intrinsic limitations on computational capabilities and battery lifetime that encumber performing
Resource-intensive Mobile Applications (RMAs). Cloud-based Mobile Augmentation (CMA) is the-state-of-
the-art augmentation model that leverages proximate and distant clouds to increase, enhance, and
optimize computing capabilities of mobile devices aiming at execution of RMAs, which breeds Mobile
Cloud Computing (MCC). This study analyzes impacts of mobile-cloud distance and number of
intermediate hops - as influential factors - on CMA performance which are not yet investigated. The
results indicate the correlation between distance and intermediate hops on overall execution costs
(time and energy) of RMAs. The mathematical modeling and benchmarking unveil that distance has
negligible impact on latency, whereas intermediate hops increment and communication overhead
significantly degrade application performance and complicate energy and time estimation in CMA
system.

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