Realistic offloading scheme for mobile cloud computing

Hamid Jadad*, Abderezak Touzene, Nasser Alzeidi, Khaled Day, Bassel Arafeh

*Corresponding author for this work

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

4 Citations (Scopus)


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
Number of pages12
ISBN (Print)9783319442143
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)
ISSN (Print)03029743
ISSN (Electronic)16113349


Other13th International Conference on Mobile Web and Intelligent Information Systems, MobiWIS 2016


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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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