Computation Offloading and Resource Allocation in Mixed Fog/Cloud Computing Systems With Min-Max Fairness Guarantee
Xidian University · University of Sheffield
Abstract
Cooperation between the fog and the cloud in mobile cloud computing environments could offer improved offloading services to smart mobile user equipment (UE) with computation intensive tasks. In this paper, we tackle the computation offloading problem in a mixed fog/cloud system by jointly optimizing the offloading decisions and the allocation of computation resource, transmit power, and radio bandwidth while guaranteeing user fairness and maximum tolerable delay. This optimization problem is formulated to minimize the maximal weighted cost of delay and energy consumption (EC) among all UEs, which is a mixed-integer non-linear programming problem. Due to the NP-hardness of the problem, we propose a…
Citation impact
- FWCI
- 46.27
- Percentile
- 100%
- References
- 34
Authors
4Topics & keywords
- Computer science
- Computation offloading
- Cloud computing
- Resource allocation
- Mathematical optimization
- Distributed computing
- User equipment
- Integer programming
- Affordable and clean energy