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Time and Energy Saving through Computation Offloading with Bandwidth Consideration for Mobile Cloud Computing

Authors:

Vandana Jagtap,

Mamta BhamareAuthors Info & Claims

WCI '15: Proceedings of the Third International Symposium on Women in Computing and Informatics

Pages 527 - 532

https://doi.org/10.1145/2791405.2791527

Published: 10 August 2015 Publication History

Abstract

Smartphone applications are gaining popularity and with time many complex and computation/resource intensive applications are coming to market. These applications require more resources and consume lot of battery power, but the improvisation in battery capacity has been lagged far behind as compared to other components of mobile devices. On other hand, clouds are rich in resources and computational power. Therefore, by utilizing cloud resources for application execution we can reduce battery consumption and in turn increases battery charging intervals. This all is known as cyber foreign or computation offloading in Moble Cloud Computing. There are various factors affecting computation offloading like bandwidth. So, we had considered bandwidth as major factor in proposed offloading decision making algorithm. Our algorithm is based on divide and conquer strategy. This system focuses on time and energy saving.

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Cited By

Singh RArmour SKhan ASooriyabandara MOikonomou G(2021)Towards Multi-Criteria Heuristic Optimization for Computational Offloading in Multi-Access Edge Computing2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR)10.1109/HPSR52026.2021.9481852(1-6)Online publication date: 7-Jun-2021
https://doi.org/10.1109/HPSR52026.2021.9481852
Ramirez Izolan PDiniz Rossi FHohemberger RKonzen Mda Cunha Rodrigues GSaquette LChaves Temp DLorenzon ACaggiani Luizelli M(2020)Low-Cost Fog Computing Platform for Soil Moisture Management2020 International Conference on Information Networking (ICOIN)10.1109/ICOIN48656.2020.9016572(499-504)Online publication date: Jan-2020
https://doi.org/10.1109/ICOIN48656.2020.9016572

Index Terms

Time and Energy Saving through Computation Offloading with Bandwidth Consideration for Mobile Cloud Computing

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Published In

cover image ACM Other conferences

WCI '15: Proceedings of the Third International Symposium on Women in Computing and Informatics

August 2015

763 pages

ISBN:9781450333610

DOI:10.1145/2791405

Editor:
Indu Nair
SCMS, Kochi, India
,
General Chairs:
Sushmita Mitra
Indian Statistical Institute, Kolkata, India
,
Ljiljana Trajković
Simon Fraser University, Canada
,
Program Chairs:
Punam Bedi
University of Delhi, India
,
Suzanne McIntosh
New York University and Cloudera Inc., USA
,
M. S. Rajasree
IIITM-K, Trivandrum, India

Copyright © 2015 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 August 2015

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WCI '15

WCI '15: Third International Symposium on Women in Computing and Informatics

August 10 - 13, 2015

Kochi, India

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WCI '15 Paper Acceptance Rate 98 of 452 submissions, 22%;

Overall Acceptance Rate 98 of 452 submissions, 22%

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Cited By

Singh RArmour SKhan ASooriyabandara MOikonomou G(2021)Towards Multi-Criteria Heuristic Optimization for Computational Offloading in Multi-Access Edge Computing2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR)10.1109/HPSR52026.2021.9481852(1-6)Online publication date: 7-Jun-2021
https://doi.org/10.1109/HPSR52026.2021.9481852
Ramirez Izolan PDiniz Rossi FHohemberger RKonzen Mda Cunha Rodrigues GSaquette LChaves Temp DLorenzon ACaggiani Luizelli M(2020)Low-Cost Fog Computing Platform for Soil Moisture Management2020 International Conference on Information Networking (ICOIN)10.1109/ICOIN48656.2020.9016572(499-504)Online publication date: Jan-2020
https://doi.org/10.1109/ICOIN48656.2020.9016572

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