research-article

A green analysis of mobile cloud computing applications

Authors:

Chung-Horng Lung,

Pradeep SrivastavaAuthors Info & Claims

SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied Computing

Pages 357 - 362

https://doi.org/10.1145/2554850.2555069

Published: 24 March 2014 Publication History

Abstract

With the widespread of rich mobile applications, the usage of mobile devices, especially smart phones and tablets, has become popular nowadays. However, battery in the mobile devices often limits continuous usages with its small size and capacity. Therefore, power consumption of mobile devices is a critical issue, not only for extending lifetime use of mobile devices, but also for creating a green IT which is a raising concern in academic and industrial communities. The goal of this paper is to investigate the power consumption of mobile devices and resource usages for various applications. To meet the goal, we have performed a number of experiments and detailed evaluations of resource usages and power consumption for various applications using a number of tools. In addition, we have measured performance metrics for applications either using a mobile device or running in the Amazon cloud. We examine the impact of various factors and provide insights on power consumption for different mobile applications.

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Cited By

Valera HDalmau MRoose PLarracoechea JHerzog CHung CHong JBechini ASong E(2021)An energy saving approachProceedings of the 36th Annual ACM Symposium on Applied Computing10.1145/3412841.3441888(69-78)Online publication date: 22-Mar-2021
https://dl.acm.org/doi/10.1145/3412841.3441888
Valera HDalmau MRoose PLarracoechea JHerzog C(2020)DRACeo: A smart simulator to deploy energy saving methods in microservices based networks2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)10.1109/WETICE49692.2020.00026(94-99)Online publication date: Sep-2020
https://doi.org/10.1109/WETICE49692.2020.00026
lvarez Valera HDalmau MRoose PHerzog C(2019)The Architecture of Kaligreen V2: A Middleware Aware of Hardware Opportunities to Save Energy2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS)10.1109/IOTSMS48152.2019.8939237(79-86)Online publication date: Oct-2019
https://doi.org/10.1109/IOTSMS48152.2019.8939237
Show More Cited By

Index Terms

A green analysis of mobile cloud computing applications

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Published In

cover image ACM Conferences

SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied Computing

March 2014

1890 pages

ISBN:9781450324694

DOI:10.1145/2554850

Conference Chairs:
Yookun Cho
Seoul National University, Korea
,
Sung Y. Shin
South Dakota State University
,
Program Chairs:
Sangwook Kim
Kyungpook National University, Korea
,
Chih-Cheng Hung
Southern Polytechnic State University
,
Jiman Hong
Soongsil University, South Korea

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGAPP: ACM Special Interest Group on Applied Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 March 2014

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Natural Sciences and Engineering Research Council of Canada

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SAC 2014

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SIGAPP

SAC 2014: Symposium on Applied Computing

March 24 - 28, 2014

Gyeongju, Republic of Korea

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SAC '14 Paper Acceptance Rate 218 of 939 submissions, 23%;

Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

Valera HDalmau MRoose PLarracoechea JHerzog CHung CHong JBechini ASong E(2021)An energy saving approachProceedings of the 36th Annual ACM Symposium on Applied Computing10.1145/3412841.3441888(69-78)Online publication date: 22-Mar-2021
https://dl.acm.org/doi/10.1145/3412841.3441888
Valera HDalmau MRoose PLarracoechea JHerzog C(2020)DRACeo: A smart simulator to deploy energy saving methods in microservices based networks2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)10.1109/WETICE49692.2020.00026(94-99)Online publication date: Sep-2020
https://doi.org/10.1109/WETICE49692.2020.00026
lvarez Valera HDalmau MRoose PHerzog C(2019)The Architecture of Kaligreen V2: A Middleware Aware of Hardware Opportunities to Save Energy2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS)10.1109/IOTSMS48152.2019.8939237(79-86)Online publication date: Oct-2019
https://doi.org/10.1109/IOTSMS48152.2019.8939237
Zhao D(2017)Mobile GPU Computing Based Filter Bank Convolution for Three-Dimensional Wavelet TransformBiometrics10.4018/978-1-5225-0983-7.ch031(761-777)Online publication date: 2017
https://doi.org/10.4018/978-1-5225-0983-7.ch031
Zhao D(2016)Mobile GPU Computing Based Filter Bank Convolution for Three-Dimensional Wavelet TransformInternational Journal of Mobile Computing and Multimedia Communications10.4018/IJMCMC.20160401027:2(22-35)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.4018/IJMCMC.2016040102
Lee MKim DLee J(2014)Analysis of Characteristics of Power Consumption for Context-Aware Mobile ApplicationsInformation10.3390/info50406125:4(612-621)Online publication date: 14-Nov-2014
https://doi.org/10.3390/info5040612

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