Abstract
Fog computing is emerging as one promising solution to meet the increasing demand for ultra-low latency services in wireless networks. Taking a forward-looking perspective, we propose a Fog-Radio Access Network (F-RAN) model, which utilizes the existing infrastructure, e.g., small cells and macro base stations, to achieve the ultra-low latency by joint computing across multiple F-RAN nodes and near-range communications at the edge. We treat the low latency design as an optimization problem, which characterizes the tradeoff between communication and computing across multiple F-RAN nodes. Since this problem is NP-hard, we propose a latency-driven cooperative task computing algorithm with one-for-all concept for simultaneous selection of the F-RAN nodes to serve with proper heterogeneous resource allocation for multi-user services. Considering the limited heterogeneous resources shared among all users, we advocate the one-for-all strategy for every user taking other's situation into consideration and seek for a 'win-win' solution. The numerical results show that the low latency services can be achieved by F-RAN via latency-driven cooperative task computing.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 615-624 |
| Number of pages | 10 |
| ISBN (Electronic) | 9781538617915 |
| DOIs | |
| State | Published - Jul 13 2017 |
| Event | 37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017 - Atlanta, United States Duration: Jun 5 2017 → Jun 8 2017 |
Other
| Other | 37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017 |
|---|---|
| Country | United States |
| City | Atlanta |
| Period | 6/5/17 → 6/8/17 |
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Keywords
- Fifth-generation (5G) cellular networks
- Fog computing
- Ultra-low latency
ASJC Scopus subject areas
- Software
- Hardware and Architecture
- Computer Networks and Communications
Cite this
Latency-Driven Cooperative Task Computing in Multi-user Fog-Radio Access Networks. / Pang, Ai Chun; Chung, Wei Ho; Chiu, Te Chuan; Zhang, Junshan.
Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 615-624 7980005.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Latency-Driven Cooperative Task Computing in Multi-user Fog-Radio Access Networks
AU - Pang, Ai Chun
AU - Chung, Wei Ho
AU - Chiu, Te Chuan
AU - Zhang, Junshan
PY - 2017/7/13
Y1 - 2017/7/13
N2 - Fog computing is emerging as one promising solution to meet the increasing demand for ultra-low latency services in wireless networks. Taking a forward-looking perspective, we propose a Fog-Radio Access Network (F-RAN) model, which utilizes the existing infrastructure, e.g., small cells and macro base stations, to achieve the ultra-low latency by joint computing across multiple F-RAN nodes and near-range communications at the edge. We treat the low latency design as an optimization problem, which characterizes the tradeoff between communication and computing across multiple F-RAN nodes. Since this problem is NP-hard, we propose a latency-driven cooperative task computing algorithm with one-for-all concept for simultaneous selection of the F-RAN nodes to serve with proper heterogeneous resource allocation for multi-user services. Considering the limited heterogeneous resources shared among all users, we advocate the one-for-all strategy for every user taking other's situation into consideration and seek for a 'win-win' solution. The numerical results show that the low latency services can be achieved by F-RAN via latency-driven cooperative task computing.
AB - Fog computing is emerging as one promising solution to meet the increasing demand for ultra-low latency services in wireless networks. Taking a forward-looking perspective, we propose a Fog-Radio Access Network (F-RAN) model, which utilizes the existing infrastructure, e.g., small cells and macro base stations, to achieve the ultra-low latency by joint computing across multiple F-RAN nodes and near-range communications at the edge. We treat the low latency design as an optimization problem, which characterizes the tradeoff between communication and computing across multiple F-RAN nodes. Since this problem is NP-hard, we propose a latency-driven cooperative task computing algorithm with one-for-all concept for simultaneous selection of the F-RAN nodes to serve with proper heterogeneous resource allocation for multi-user services. Considering the limited heterogeneous resources shared among all users, we advocate the one-for-all strategy for every user taking other's situation into consideration and seek for a 'win-win' solution. The numerical results show that the low latency services can be achieved by F-RAN via latency-driven cooperative task computing.
KW - Fifth-generation (5G) cellular networks
KW - Fog computing
KW - Ultra-low latency
UR - http://www.scopus.com/inward/record.url?scp=85027262618&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85027262618&partnerID=8YFLogxK
U2 - 10.1109/ICDCS.2017.83
DO - 10.1109/ICDCS.2017.83
M3 - Conference contribution
AN - SCOPUS:85027262618
SP - 615
EP - 624
BT - Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -