TY - GEN
T1 - Greening Reliability of Virtual Network Functions via Online Optimization
AU - Shang, Xiaojun
AU - Liu, Yu
AU - Mao, Yingling
AU - Liu, Zhenhua
AU - Yang, Yuanyuan
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - The fast development of virtual network functions (VNFs) brings new challenges to providing reliability. The widely adopted approach of deploying backups incurs financial costs and environmental impacts. On the other hand, the recent trend of incorporating renewable energy into computing systems provides great potentials, yet the volatility of renewable energy generation presents significant operational challenges. In this paper, we optimize availability of VNFs under a limited backup budget and renewable energy using a dynamic strategy GVB. GVB applies a novel online algorithm to solve the VNF reliability optimization problem with non-stationary energy generation and VNF failures. Both theoretical bound and extensive simulation results highlight that GVB provides higher reliability compared with existing baselines.
AB - The fast development of virtual network functions (VNFs) brings new challenges to providing reliability. The widely adopted approach of deploying backups incurs financial costs and environmental impacts. On the other hand, the recent trend of incorporating renewable energy into computing systems provides great potentials, yet the volatility of renewable energy generation presents significant operational challenges. In this paper, we optimize availability of VNFs under a limited backup budget and renewable energy using a dynamic strategy GVB. GVB applies a novel online algorithm to solve the VNF reliability optimization problem with non-stationary energy generation and VNF failures. Both theoretical bound and extensive simulation results highlight that GVB provides higher reliability compared with existing baselines.
UR - https://www.scopus.com/pages/publications/85094841645
U2 - 10.1109/IWQoS49365.2020.9212998
DO - 10.1109/IWQoS49365.2020.9212998
M3 - Conference contribution
AN - SCOPUS:85094841645
T3 - 2020 IEEE/ACM 28th International Symposium on Quality of Service, IWQoS 2020
BT - 2020 IEEE/ACM 28th International Symposium on Quality of Service, IWQoS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th IEEE/ACM International Symposium on Quality of Service, IWQoS 2020
Y2 - 15 June 2020 through 17 June 2020
ER -