TY - GEN
T1 - Complex Network Analysis for Ultra-Large-Scale MEC Small-Cell Based Peer-Offloading
AU - Chi, Hao Ran
AU - Domingues, M. Fatima
AU - Radwan, Ayman
N1 - Funding Information:
ACKNOWLEDGMENT This work is supported by the European Regional Development Fund (FEDER), through the Regional Operational Programme of Lisbon (POR LISBOA 2020) and the Regional Operational Programme of Centre (CENTRO 2020) of the Portugal 2020 framework [Project Safe-Home with Nr. 072082 (CENTRO-01-0247-FEDER-072082)]; This work is also funded by FCT/MCTES through national funds and when applicable co-funded EU funds under the project UIDB/50008/2020-UIDP/50008/2020, and the internal project X-0005-AV-20-NICE-HOME. The work of author Ayman Radwan was supported by FCT / MEC through Programa Operacional Regional do Centro and by the European Union through the European Social Fund (ESF) under Investigador FCT Grant (5G-AHEAD IF/FCT-IF/01393/2015/CP1310/CT0002). Author Domingues and Alberto acknowledges the scientific action REACT and PREDICT, co-funded by FEDER – PT2020 partnership agreement under the project UID/EEA/50008/2019 FCT.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Peer-offloading of ultra-large-scale mobile edge computing enabled small cell (ULS-MEC-SC) will be highly demanded with optimal quality of service (QoS), and cost efficiency. Modeling and analysis of inter-MEC-SC topology has been foreseen to gain dominant influence to ULS-MEC-SC peer-offloading. Although complex network shows its strength revealing topological information, efforts are still lacked for topological analysis of ULS-MEC-SC. Therefore, in this paper, for the first time, we model and analyze inter-MEC-SC topology for ULS-MEC-SC peer-offloading, by considering complex network. We also propose systemic translation between graph theory based indicators and network-layer performance, for correlating graph theory based topological analysis with service-centric performance in ULS-MEC-SC peer-offloading. Comprehensive scenarios of ULS-MEC-SC peer-offloading are designed, comparing and analyzing performance of complex network modeling, which is referable of revealing unique strengths of typical complex networks (random graph, small world, and scale free network), regarding operation cost, latency, and convergence speed. Therefore, this paper paves the way to complex network based topological modeling, determination, and analysis of future ULS-MEC-SC peer-offloading.
AB - Peer-offloading of ultra-large-scale mobile edge computing enabled small cell (ULS-MEC-SC) will be highly demanded with optimal quality of service (QoS), and cost efficiency. Modeling and analysis of inter-MEC-SC topology has been foreseen to gain dominant influence to ULS-MEC-SC peer-offloading. Although complex network shows its strength revealing topological information, efforts are still lacked for topological analysis of ULS-MEC-SC. Therefore, in this paper, for the first time, we model and analyze inter-MEC-SC topology for ULS-MEC-SC peer-offloading, by considering complex network. We also propose systemic translation between graph theory based indicators and network-layer performance, for correlating graph theory based topological analysis with service-centric performance in ULS-MEC-SC peer-offloading. Comprehensive scenarios of ULS-MEC-SC peer-offloading are designed, comparing and analyzing performance of complex network modeling, which is referable of revealing unique strengths of typical complex networks (random graph, small world, and scale free network), regarding operation cost, latency, and convergence speed. Therefore, this paper paves the way to complex network based topological modeling, determination, and analysis of future ULS-MEC-SC peer-offloading.
KW - complex network
KW - large scale
KW - mobile edge computing
KW - QoS
KW - Small cell
UR - http://www.scopus.com/inward/record.url?scp=85127270597&partnerID=8YFLogxK
U2 - 10.1109/GLOBECOM46510.2021.9685515
DO - 10.1109/GLOBECOM46510.2021.9685515
M3 - Conference contribution
AN - SCOPUS:85127270597
T3 - 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
BT - 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Global Communications Conference, GLOBECOM 2021
Y2 - 7 December 2021 through 11 December 2021
ER -