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Authors: Filipe Fernandes S. B. de Matos 1 ; Paulo A. L. Rego 2 and Fernando A. M. Trinta 2

Affiliations: 1 GOHaN Research Group, Federal University of Ceará, Crateús, Brazil ; 2 GREat Research Group, Federal University of Ceará, Fortaleza, Brazil

Keyword(s): Multi-language, gRPC, Offloading, Performance Evaluation, Mobile Cloud Computing.

Abstract: Low processing capabilities and limited energy autonomy are common restrictions faced by most mobile devices. In order to address these issues, the computation offloading technique has been proposed to transfer tasks from low processing devices to other machines with higher computing capability. This paper presents an empirical study on the performance of multi-language techniques in offloading procedures. Our experiments evaluate the processing time and the energy consumed by a mobile device when executing methods of two applications locally (on a mobile phone) and remotely (via offloading) on a server process developed using distinct programming languages (Go, C++, Java, and Python). Google’s gRPC and Protocol Buffers were used as a data serialization mechanism to allow offloading between client and server processes. The results show that using a multi-language approach for offloading can reduce the processing time by up to 39 times and the mobile device’s energy consumption by up to 96% approximately. (More)

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Paper citation in several formats:
B. de Matos, F. F. S., Rego, P. A. L. and Trinta, F. A. M. (2021). An Empirical Study about the Adoption of Multi-language Technique in Computation Offloading in a Mobile Cloud Computing Scenario. In Proceedings of the 11th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-510-4; ISSN 2184-5042, SciTePress, pages 207-214. DOI: 10.5220/0010437802070214

@conference{closer21,
author={Filipe Fernandes S. {B. de Matos} and Paulo A. L. Rego and Fernando A. M. Trinta},
title={An Empirical Study about the Adoption of Multi-language Technique in Computation Offloading in a Mobile Cloud Computing Scenario},
booktitle={Proceedings of the 11th International Conference on Cloud Computing and Services Science - CLOSER},
year={2021},
pages={207-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010437802070214},
isbn={978-989-758-510-4},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Cloud Computing and Services Science - CLOSER
TI - An Empirical Study about the Adoption of Multi-language Technique in Computation Offloading in a Mobile Cloud Computing Scenario
SN - 978-989-758-510-4
IS - 2184-5042
AU - B. de Matos, F.
AU - Rego, P.
AU - Trinta, F.
PY - 2021
SP - 207
EP - 214
DO - 10.5220/0010437802070214
PB - SciTePress

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