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EFFORT: Energy Efficient Framework for Offload Communication in Mobile Cloud Computing

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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EFFORT: Energy Efficient Framework for Offload Communication in Mobile Cloud Computing. / U.R.Malik, Saif; Akram, Hina; Singh Gill, Sukhpal et al.
In: Software: Practice and Experience, Vol. 51, No. 9, 30.09.2021, p. 1896-1909.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

U.R.Malik, S, Akram, H, Singh Gill, S, Pervaiz, H & malik, H 2021, 'EFFORT: Energy Efficient Framework for Offload Communication in Mobile Cloud Computing', Software: Practice and Experience, vol. 51, no. 9, pp. 1896-1909. https://doi.org/10.1002/spe.2850

APA

U.R.Malik, S., Akram, H., Singh Gill, S., Pervaiz, H., & malik, H. (2021). EFFORT: Energy Efficient Framework for Offload Communication in Mobile Cloud Computing. Software: Practice and Experience, 51(9), 1896-1909. https://doi.org/10.1002/spe.2850

Vancouver

U.R.Malik S, Akram H, Singh Gill S, Pervaiz H, malik H. EFFORT: Energy Efficient Framework for Offload Communication in Mobile Cloud Computing. Software: Practice and Experience. 2021 Sept 30;51(9):1896-1909. Epub 2020 May 31. doi: 10.1002/spe.2850

Author

U.R.Malik, Saif ; Akram, Hina ; Singh Gill, Sukhpal et al. / EFFORT : Energy Efficient Framework for Offload Communication in Mobile Cloud Computing. In: Software: Practice and Experience. 2021 ; Vol. 51, No. 9. pp. 1896-1909.

Bibtex

@article{f5354f5618ce4b1f8d56ae15404e980c,
title = "EFFORT: Energy Efficient Framework for Offload Communication in Mobile Cloud Computing",
abstract = "There is an abundant expansion in the race of technology, specifically in the production of data, because of the smart devices, such as mobile phones, smart cards, sensors, and Internet of Things (IoT). Smart phones and devices have undergone an enormous evolution in a way that they can be used. More and more new applications, such as face recognition, augmented reality, online interactive gaming, and natural language processing are emerging and attracting the users. Such applications are generally data intensive or compute intensive, which demands high resource and energy consumption. Mobile devices are known for the resource scarcity, having limited computational power and battery life. The tension between compute/data intensive application and resource constrained mobile devices hinders the successful adaption of emerging paradigms. In the said perspective, the objective of this paper is to study the role of computation offloading in mobile cloud computing to supplement mobile platforms ability in executing complex applications. This paper proposes a systematic approach (EFFORT) for offload communication in the cloud. The proposed approach provides a promising solution to partially solve energy consumption issue for communication-intensive applications in a smartphone. The experimental study shows that our proposed approach outperforms its counterparts in terms of energy consumption and fast processing of smartphone devices. The battery consumption was reduced to 19% and the data usage was reduced to 16%. ",
author = "Saif U.R.Malik and Hina Akram and {Singh Gill}, Sukhpal and Haris Pervaiz and hassan malik",
year = "2021",
month = sep,
day = "30",
doi = "10.1002/spe.2850",
language = "English",
volume = "51",
pages = "1896--1909",
journal = "Software: Practice and Experience",
issn = "0038-0644",
publisher = "John Wiley and Sons Ltd",
number = "9",

}

RIS

TY - JOUR

T1 - EFFORT

T2 - Energy Efficient Framework for Offload Communication in Mobile Cloud Computing

AU - U.R.Malik, Saif

AU - Akram, Hina

AU - Singh Gill, Sukhpal

AU - Pervaiz, Haris

AU - malik, hassan

PY - 2021/9/30

Y1 - 2021/9/30

N2 - There is an abundant expansion in the race of technology, specifically in the production of data, because of the smart devices, such as mobile phones, smart cards, sensors, and Internet of Things (IoT). Smart phones and devices have undergone an enormous evolution in a way that they can be used. More and more new applications, such as face recognition, augmented reality, online interactive gaming, and natural language processing are emerging and attracting the users. Such applications are generally data intensive or compute intensive, which demands high resource and energy consumption. Mobile devices are known for the resource scarcity, having limited computational power and battery life. The tension between compute/data intensive application and resource constrained mobile devices hinders the successful adaption of emerging paradigms. In the said perspective, the objective of this paper is to study the role of computation offloading in mobile cloud computing to supplement mobile platforms ability in executing complex applications. This paper proposes a systematic approach (EFFORT) for offload communication in the cloud. The proposed approach provides a promising solution to partially solve energy consumption issue for communication-intensive applications in a smartphone. The experimental study shows that our proposed approach outperforms its counterparts in terms of energy consumption and fast processing of smartphone devices. The battery consumption was reduced to 19% and the data usage was reduced to 16%.

AB - There is an abundant expansion in the race of technology, specifically in the production of data, because of the smart devices, such as mobile phones, smart cards, sensors, and Internet of Things (IoT). Smart phones and devices have undergone an enormous evolution in a way that they can be used. More and more new applications, such as face recognition, augmented reality, online interactive gaming, and natural language processing are emerging and attracting the users. Such applications are generally data intensive or compute intensive, which demands high resource and energy consumption. Mobile devices are known for the resource scarcity, having limited computational power and battery life. The tension between compute/data intensive application and resource constrained mobile devices hinders the successful adaption of emerging paradigms. In the said perspective, the objective of this paper is to study the role of computation offloading in mobile cloud computing to supplement mobile platforms ability in executing complex applications. This paper proposes a systematic approach (EFFORT) for offload communication in the cloud. The proposed approach provides a promising solution to partially solve energy consumption issue for communication-intensive applications in a smartphone. The experimental study shows that our proposed approach outperforms its counterparts in terms of energy consumption and fast processing of smartphone devices. The battery consumption was reduced to 19% and the data usage was reduced to 16%.

U2 - 10.1002/spe.2850

DO - 10.1002/spe.2850

M3 - Journal article

VL - 51

SP - 1896

EP - 1909

JO - Software: Practice and Experience

JF - Software: Practice and Experience

SN - 0038-0644

IS - 9

ER -