TY - GEN
T1 - Stochastic scheduling towards cost efficient network function virtualization in edge cloud
AU - Zeng, Deze
AU - Zhang, Jie
AU - Gu, Lin
AU - Guo, Song
PY - 2018/6/26
Y1 - 2018/6/26
N2 - Network Function Virtualization (NFV) emerges as a promising technology to increase the network flexibility, customizability and efficiency by softwarizing traditional dedicated hardware based functions to virtualized network functions. The prosperous potential of edge cloud makes it an ideal platform to host the network functions. From the perspective of network service providers, an inevitable concern is how to reduce the overall cost for renting various resources from infrastructure providers. In this paper, unlike existing related studies assuming a preknown network traffic demand, we alternatively consider a practical case without any prior knowledge. We investigate how to dynamically minimize the overall operational cost with joint consideration of packet scheduling, network function management and resource allocation. The tradeoff between the queue backlog and overall cost is analyzed using a Lyapunov optimization framework. A backpressure based online scheduling algorithm is proposed and its efficiency is extensively evaluated by trace-driven simulations.
AB - Network Function Virtualization (NFV) emerges as a promising technology to increase the network flexibility, customizability and efficiency by softwarizing traditional dedicated hardware based functions to virtualized network functions. The prosperous potential of edge cloud makes it an ideal platform to host the network functions. From the perspective of network service providers, an inevitable concern is how to reduce the overall cost for renting various resources from infrastructure providers. In this paper, unlike existing related studies assuming a preknown network traffic demand, we alternatively consider a practical case without any prior knowledge. We investigate how to dynamically minimize the overall operational cost with joint consideration of packet scheduling, network function management and resource allocation. The tradeoff between the queue backlog and overall cost is analyzed using a Lyapunov optimization framework. A backpressure based online scheduling algorithm is proposed and its efficiency is extensively evaluated by trace-driven simulations.
UR - http://www.scopus.com/inward/record.url?scp=85050189946&partnerID=8YFLogxK
U2 - 10.1109/SAHCN.2018.8397140
DO - 10.1109/SAHCN.2018.8397140
M3 - Conference article published in proceeding or book
AN - SCOPUS:85050189946
T3 - 2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018
SP - 1
EP - 9
BT - 2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018
Y2 - 11 June 2018 through 13 June 2018
ER -