A Device-to-Device Task Offloading System for Mobile Device Cloud Computing

MPhil Thesis Defence


Title: "A Device-to-Device Task Offloading System for Mobile Device Cloud 
Computing"

By

Mr. Ye HUANG


Abstract

Execution speed bothers application developers for smartphones. Intensive 
applications like 3D games may suffer from significant delays when CPU is 
busy. Energy is another concern when smartphones are in low battery level 
but users need them for urgency use. To ease such pains, traditional 
cloud-computing framework offload tasks to remote cloud for execution. 
This framework does not work without Internet access. To deal with such 
problem, we propose to leverage nearby devices for computation offloading, 
which is known as mobile device cloud computing. In this thesis, we 
present an ambient cloud computing system for device to device (D2D) task 
offloading without the assumption of Internet access. The system includes 
a programmer friendly framework which provides an open interface to hides 
all offloading details, a link stability model that evaluates link quality 
to provide a more reliable network environment, and a runtime task 
scheduler to make offloading decisions according to runtime environment of 
CPU idleness and battery level. We implement our system in a testbed with 
10 Android phones. Extensive experiments demonstrate that the system 
achieves up to 6.1X execution speedup and saves up to 5.3X energy 
consumption.


Date:			Monday, 27 October 2014

Time:			11:00am - 1:00pm

Venue:			Room 3501
 			Lifts 25/26

Committee Members:	Dr. Pan Hui (Supervisor)
 			Dr. Lin Gu (Chairperson)
 			Dr. Kai Chen


**** ALL are Welcome ****