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Performance and Energy Consumption Evaluation of Computation Offloading using CAOS D2D

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Autor(es):
dos Santos, Gabriel B. ; Trinta, Fernando A. M. ; Rego, Paulo A. L. ; Silva, Francisco A. ; de Souza, Jose N. ; IEEE
Número total de Autores: 6
Tipo de documento: Artigo Científico
Fonte: 2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM); v. N/A, p. 7-pg., 2018-01-01.
Resumo

With the goal of simplifying the design and development of applications that use computation offloading, we developed the CAOS D2D platform to provide an abstraction layer for dealing with low-level tasks related to offloading of methods among Android mobile devices. This paper presents experiments performed to evaluate different aspects of the CAOS D2D, such as execution time and energy consumption of devices during method offloading. Besides that, we also performed experiments to evaluate the process of applications' dependency deployment. The experiments show that computation offloading can speedup the execution time by up to 4.55 times and reduce the power consumption by up to 88% in comparison to local executions of the same methods. (AU)

Processo FAPESP: 15/24144-7 - Tecnologias e soluções para habilitar o paradigma de nuvens de coisas
Beneficiário:José Neuman de Souza
Modalidade de apoio: Auxílio à Pesquisa - Temático