Research Article
Task Offloading Engine for Heterogeneous Mobile Clouds
@INPROCEEDINGS{10.4108/eai.30-11-2016.2267048, author={Dawand Sulaiman and Adam Barker}, title={Task Offloading Engine for Heterogeneous Mobile Clouds}, proceedings={The 8th EAI International Conference on Mobile Computing, Applications and Services}, publisher={ACM}, proceedings_a={MOBICASE}, year={2016}, month={12}, keywords={mobile clouds task offloading heterogeneity}, doi={10.4108/eai.30-11-2016.2267048} }- Dawand Sulaiman
Adam Barker
Year: 2016
Task Offloading Engine for Heterogeneous Mobile Clouds
MOBICASE
ACM
DOI: 10.4108/eai.30-11-2016.2267048
Abstract
The limitations in computational resources and battery power of mobile devices led to the concept of offloading compute-intensive tasks to powerful devices. We have developed a framework to offload tasks from a mobile device to other nearby heterogeneous devices. It contains an offloading engine to selectively choose the target devices for the execution of the offloaded tasks to address optimal scheduling across devices with diverse capabilities. Our initial conducted runtime measurements show the feasibility of this concept. As preliminary results, we show that offloading compute intensive tasks from a device with less computational capability to a set of nearby more powerful devices can reduce the overall computational time by approximately 50%.
