TY - GEN
T1 - PON-Based connectivity for fog computing
AU - Alqahtani, Abdullah M.
AU - Mohamed, Sanaa H.
AU - El-Gorashi, Taisir E.H.
AU - Elmirghani, Jaafar M.H.
N1 - Funding Information:
The authors would like to acknowledge funding from the Engineering and Physical Sciences Research Council (EPSRC) INTERNET (EP/H040536/1), STAR (EP/K016873/1) and TOWS (EP/S016570/1) projects. The first author would like to acknowledge the Government of Saudi Arabia and JAZAN University for funding his PhD scholarship. SHM would like to thank EPSRC for providing her Doctoral Training Award scholarship. All data are provided in full in the results section of this paper.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - Fog computing plays a crucial role in satisfying the requirements of delay-sensitive applications such as connected vehicles, smart grids, and actuator networks by moving data processing close to end users. Passive optical networks (PONs) are widely used in access networks to reduce the power consumption while providing high bandwidth to end users under flexible designs. Typically, distributed fog computing units in access networks have limited processing and storage capacities that can be under or over utilized depending on instantaneous demands. To extend the available capacity in access network, this paper proposes a fog computing architecture based on SDN-enabled PONs to achieve full connectivity among distributed fog computing servers. The power consumption results show that this architecture can achieve up to about 80% power savings in comparison to legacy fog computing based on spine and leaf data centers with the same number of servers.
AB - Fog computing plays a crucial role in satisfying the requirements of delay-sensitive applications such as connected vehicles, smart grids, and actuator networks by moving data processing close to end users. Passive optical networks (PONs) are widely used in access networks to reduce the power consumption while providing high bandwidth to end users under flexible designs. Typically, distributed fog computing units in access networks have limited processing and storage capacities that can be under or over utilized depending on instantaneous demands. To extend the available capacity in access network, this paper proposes a fog computing architecture based on SDN-enabled PONs to achieve full connectivity among distributed fog computing servers. The power consumption results show that this architecture can achieve up to about 80% power savings in comparison to legacy fog computing based on spine and leaf data centers with the same number of servers.
KW - Arrayed waveguide grating routers (AWGRs)
KW - Energy efficiency
KW - Fog computing
KW - Mixed integer linear programming (MILP)
KW - Passive optical networks (PON)
KW - Software-defined networking (SDN)
UR - http://www.scopus.com/inward/record.url?scp=85092503828&partnerID=8YFLogxK
UR - https://icton2020.fbk.eu/home
U2 - 10.1109/ICTON51198.2020.9203425
DO - 10.1109/ICTON51198.2020.9203425
M3 - Conference contribution
AN - SCOPUS:85092503828
SN - 9781728184241
T3 - International Conference on Transparent Optical Networks
SP - 1
EP - 6
BT - 2020 22nd International Conference on Transparent Optical Networks, ICTON 2020
A2 - Prudenzano, Francesco
A2 - Cojocaru, Crina
A2 - Urban, Patryk
A2 - Marciniak, Marian
PB - IEEE, Institute of Electrical and Electronics Engineers
CY - United States
T2 - 22nd International Conference on Transparent Optical Networks, ICTON 2020
Y2 - 19 July 2020 through 23 July 2020
ER -