Realistic offloading scheme for mobile cloud computing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Nowadays, smartphone devices have become very important in our daily life. We carry them everywhere and anytime. This strong dependency has encouraged mobile application developers to develop a wide variety of mobile applications. However, the limitations of smartphone hardware, such as limited processing capacity and limited battery life have become a barrier in front of apps developers. On the other hand, cloud computing is changing the style of delivering IT services. Mobile cloud computing uses the cloud to overcome the mobile device limitations. Many works have been conducted to extend mobile capabilities by offloading intensive application codes to the cloud. However, they did not consider realistic data that dynamically changing in user environment such as processors load, battery level, network bandwidth, etc. in offloading decision. Therefore, this paper aims to propose a new approach that uses realistic data from the user real environment to decide at runtime whether to offload code or not. Our experimental results show that our approach reduces the execution time and battery consumption compared to other approaches that do not take into consideration mobile device condition data.

Original languageEnglish
Title of host publicationMobile Web and Intelligent Information Systems - 13th International Conference, MobiWIS 2016, Proceedings
PublisherSpringer Verlag
Pages81-92
Number of pages12
Volume9847
ISBN (Print)9783319442143
DOIs
Publication statusPublished - 2016
Event13th International Conference on Mobile Web and Intelligent Information Systems, MobiWIS 2016 - Vienna, Austria
Duration: Aug 22 2016Aug 24 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9847
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other13th International Conference on Mobile Web and Intelligent Information Systems, MobiWIS 2016
CountryAustria
CityVienna
Period8/22/168/24/16

Fingerprint

Mobile cloud computing
Mobile Computing
Cloud Computing
Battery
Mobile Applications
Smartphones
Mobile devices
Mobile Devices
Cloud computing
Application programs
Execution Time
Bandwidth
Hardware
Experimental Results
Processing
Life

Keywords

  • Battery life saving
  • Mobile cloud computing
  • Offloading
  • Smartphones

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Jadad, H., Touzene, A., Alzeidi, N., Day, K., & Arafeh, B. (2016). Realistic offloading scheme for mobile cloud computing. In Mobile Web and Intelligent Information Systems - 13th International Conference, MobiWIS 2016, Proceedings (Vol. 9847, pp. 81-92). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9847). Springer Verlag. https://doi.org/10.1007/978-3-319-44215-0_7

Realistic offloading scheme for mobile cloud computing. / Jadad, Hamid; Touzene, Abderezak; Alzeidi, Nasser; Day, Khaled; Arafeh, Bassel.

Mobile Web and Intelligent Information Systems - 13th International Conference, MobiWIS 2016, Proceedings. Vol. 9847 Springer Verlag, 2016. p. 81-92 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9847).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jadad, H, Touzene, A, Alzeidi, N, Day, K & Arafeh, B 2016, Realistic offloading scheme for mobile cloud computing. in Mobile Web and Intelligent Information Systems - 13th International Conference, MobiWIS 2016, Proceedings. vol. 9847, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9847, Springer Verlag, pp. 81-92, 13th International Conference on Mobile Web and Intelligent Information Systems, MobiWIS 2016, Vienna, Austria, 8/22/16. https://doi.org/10.1007/978-3-319-44215-0_7
Jadad H, Touzene A, Alzeidi N, Day K, Arafeh B. Realistic offloading scheme for mobile cloud computing. In Mobile Web and Intelligent Information Systems - 13th International Conference, MobiWIS 2016, Proceedings. Vol. 9847. Springer Verlag. 2016. p. 81-92. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-44215-0_7
Jadad, Hamid ; Touzene, Abderezak ; Alzeidi, Nasser ; Day, Khaled ; Arafeh, Bassel. / Realistic offloading scheme for mobile cloud computing. Mobile Web and Intelligent Information Systems - 13th International Conference, MobiWIS 2016, Proceedings. Vol. 9847 Springer Verlag, 2016. pp. 81-92 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{5d2f8f9d20654415a54406932591e626,
title = "Realistic offloading scheme for mobile cloud computing",
abstract = "Nowadays, smartphone devices have become very important in our daily life. We carry them everywhere and anytime. This strong dependency has encouraged mobile application developers to develop a wide variety of mobile applications. However, the limitations of smartphone hardware, such as limited processing capacity and limited battery life have become a barrier in front of apps developers. On the other hand, cloud computing is changing the style of delivering IT services. Mobile cloud computing uses the cloud to overcome the mobile device limitations. Many works have been conducted to extend mobile capabilities by offloading intensive application codes to the cloud. However, they did not consider realistic data that dynamically changing in user environment such as processors load, battery level, network bandwidth, etc. in offloading decision. Therefore, this paper aims to propose a new approach that uses realistic data from the user real environment to decide at runtime whether to offload code or not. Our experimental results show that our approach reduces the execution time and battery consumption compared to other approaches that do not take into consideration mobile device condition data.",
keywords = "Battery life saving, Mobile cloud computing, Offloading, Smartphones",
author = "Hamid Jadad and Abderezak Touzene and Nasser Alzeidi and Khaled Day and Bassel Arafeh",
year = "2016",
doi = "10.1007/978-3-319-44215-0_7",
language = "English",
isbn = "9783319442143",
volume = "9847",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "81--92",
booktitle = "Mobile Web and Intelligent Information Systems - 13th International Conference, MobiWIS 2016, Proceedings",

}

TY - GEN

T1 - Realistic offloading scheme for mobile cloud computing

AU - Jadad, Hamid

AU - Touzene, Abderezak

AU - Alzeidi, Nasser

AU - Day, Khaled

AU - Arafeh, Bassel

PY - 2016

Y1 - 2016

N2 - Nowadays, smartphone devices have become very important in our daily life. We carry them everywhere and anytime. This strong dependency has encouraged mobile application developers to develop a wide variety of mobile applications. However, the limitations of smartphone hardware, such as limited processing capacity and limited battery life have become a barrier in front of apps developers. On the other hand, cloud computing is changing the style of delivering IT services. Mobile cloud computing uses the cloud to overcome the mobile device limitations. Many works have been conducted to extend mobile capabilities by offloading intensive application codes to the cloud. However, they did not consider realistic data that dynamically changing in user environment such as processors load, battery level, network bandwidth, etc. in offloading decision. Therefore, this paper aims to propose a new approach that uses realistic data from the user real environment to decide at runtime whether to offload code or not. Our experimental results show that our approach reduces the execution time and battery consumption compared to other approaches that do not take into consideration mobile device condition data.

AB - Nowadays, smartphone devices have become very important in our daily life. We carry them everywhere and anytime. This strong dependency has encouraged mobile application developers to develop a wide variety of mobile applications. However, the limitations of smartphone hardware, such as limited processing capacity and limited battery life have become a barrier in front of apps developers. On the other hand, cloud computing is changing the style of delivering IT services. Mobile cloud computing uses the cloud to overcome the mobile device limitations. Many works have been conducted to extend mobile capabilities by offloading intensive application codes to the cloud. However, they did not consider realistic data that dynamically changing in user environment such as processors load, battery level, network bandwidth, etc. in offloading decision. Therefore, this paper aims to propose a new approach that uses realistic data from the user real environment to decide at runtime whether to offload code or not. Our experimental results show that our approach reduces the execution time and battery consumption compared to other approaches that do not take into consideration mobile device condition data.

KW - Battery life saving

KW - Mobile cloud computing

KW - Offloading

KW - Smartphones

UR - http://www.scopus.com/inward/record.url?scp=84984848259&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84984848259&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-44215-0_7

DO - 10.1007/978-3-319-44215-0_7

M3 - Conference contribution

SN - 9783319442143

VL - 9847

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 81

EP - 92

BT - Mobile Web and Intelligent Information Systems - 13th International Conference, MobiWIS 2016, Proceedings

PB - Springer Verlag

ER -