Application Partitioning for Offloading in Mobile Pervasive Environments | Zendy

Nevin Vunka Jungum | Zendy; NAWAZ MOHAMUDALLY | Zendy; Nimal Nissanke | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Application Partitioning for Offloading in Mobile Pervasive Environments

Author(s) -

Nevin Vunka Jungum,

NAWAZ MOHAMUDALLY,

Nimal Nissanke

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.09.472

Subject(s) - computer science , mobile device , laptop , energy consumption , partition (number theory) , embedded system , computation offloading , mobile computing , bandwidth (computing) , distributed computing , computer network , real time computing , internet of things , operating system , edge computing , ecology , mathematics , combinatorics , biology

In this work, we proposed an algorithm to partition an application for offloading into exactly two clusters. One for local execution on the resource constraint mobile device and other one for remote execution on another device such as smartphone, laptop, desktop and so on. The aim is to reduce energy usage on the source mobile device and improve response time. The evaluation results show an overall application performance improvement, in terms of response time and energy consumption, of the proposed algorithm compared to a no offloading and full offloading strategy. We note that high bandwidth and remote devices with higher computational speed benefits offloading while in low connectivity, a no offloading approach is better.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research