6533b7d0fe1ef96bd125a20b
RESEARCH PRODUCT
Energy Efficient Optimization for Computation Offloading in Fog Computing System
Tapani RistaniemiZhenyu ZhouZheng ChangZhisheng Niusubject
020203 distributed computingOptimization problemComputer sciencebusiness.industryNode (networking)Distributed computing020206 networking & telecommunicationsCloud computing02 engineering and technologyEnergy consumptionDistributed algorithm0202 electrical engineering electronic engineering information engineeringComputation offloadingbusinessMobile deviceEdge computingEfficient energy usedescription
In this paper, we investigate the energy efficient computation offloading scheme in a multi-user fog computing system. We consider the users need to make the decision on whether to offload the tasks to the fog node nearby, based on the energy consumption and delay constraint. In particular, we utilize queuing theory to bring a thorough study on the energy consumption and execution delay of the offloading process. Two queuing models are applied respectively to model the execution processes at the mobile device (MD) and fog node. Based on the theoretical analysis, an energy efficient optimization problem is formulated with the objective to minimize the energy consumption subjects to execution delay constraints. In order to address the formulated problem, an alternating direction method of multipliers (ADMM)-based distributed algorithm is proposed. Extensive simulation studies are conducted to demonstrate the effectiveness of the proposed scheme and the superior performance over the other existed schemes can be observed.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-12-01 | GLOBECOM 2017 - 2017 IEEE Global Communications Conference |