Abstract
Fog computing, evolves from the cloud and migrates the computing to the edge, is a promising solution to meet the increasing demand for ultra-low latency services in wireless networks. Via the forward-looking perspective, we advocate a FogRadioAccess Network(F-RAN) model, which leverages the existing infrastructure such as small cells with limited computing power, to achieve the ultra-low latency by joint edge computing and near-range communications across multiple Fog groups. We formulate the low latency design as an NP-hard optimization problem, which demonstrates the tradeoff between communication and computing in the time domain. Due to each F-RAN node's potential as each user's master F-RAN node with 1) different self computing power; and 2) different cooperative power of assisted F-RAN nodes, we first tackle globally optimized master F-RAN node selection for each user and propose a latency-driven cooperative Fog algorithm with dynamic programming solution for simultaneous selection of the F-RAN nodes to serve proper heterogeneous Fog resource allocation for multi-Fog groups. Considering the limited heterogeneous Fog resources shared among all users, we propose the one-for-all strategy for every user putting him/herself into others' shoes and reaching a win-win outcome. The numerical results show that the low latency services can be accomplished by F-RAN via latency-driven Fog cooperation approach.
Original language | English (US) |
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Article number | 8416783 |
Pages (from-to) | 698-711 |
Number of pages | 14 |
Journal | IEEE Transactions on Services Computing |
Volume | 12 |
Issue number | 5 |
DOIs | |
State | Published - Sep 1 2019 |
Keywords
- Fifth-generation (5G) cellular networks
- cooperative task computing
- fog computing
- fog cooperation
- heterogeneous resource allocation
- latency-driven
- ultra-low latency
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Science Applications
- Computer Networks and Communications
- Information Systems and Management