Abstract
The advent of smartphones has enabled us to develop powerful and sophisticated applications. Even though the smartphone is become hugely popular, it still has not been able to reach in hands of billions of people. Many mobile applications fail to perform well because of the mobile device shortcomings of low resource availability and battery limitations. These limitations can be overcome through offloading execution and distributing computation execution on to more resourceful devices. This paper proposes a solution to execute Android applications through a mobile ad hoc network formed by devices in the proximity. The mobile ad hoc network is formed using Wi-fi Direct technology that enables fast and seamless communication. We have proposed a method for distribution of mobile application and migration of computation to nearby mobile devices in the mobile ad hoc network. The paper shows the implementation of execution of the compute-intensive mobile application on the local mobile device and mobile ad hoc cloud and compares the execution time. This paper also compares the application execution time with the application which is distributed equally and based on the profile of mobile devices. The application is migrated on the system according to available device resources and computation capacity.
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Devadkar, K.K., Kalbande, D.R. (2020). Comparison of Execution Time of Mobile Application Using Equal Division and Profile-Based Algorithm in Mobile Cloud Computing. In: Chaudhary, A., Choudhary, C., Gupta, M., Lal, C., Badal, T. (eds) Microservices in Big Data Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-15-0128-9_6
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DOI: https://doi.org/10.1007/978-981-15-0128-9_6
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