TY - GEN
T1 - OFM
T2 - 26th IEEE/ACM International Symposium on Quality of Service, IWQoS 2018
AU - Sun, Chen
AU - Bi, Jun
AU - Meng, Zili
AU - Zhang, Xiao
AU - Hu, Hongxin
N1 - Publisher Copyright: © 2018 IEEE.
PY - 2019/1/22
Y1 - 2019/1/22
N2 - Network Function Virtualization (NFV) together with Software Defined Networking (SDN) offers the potential for enhancing service delivery flexibility and reducing overall costs. Based on the capability of dynamic creation and destruction of network function (NF) instances, NFV provides great elasticity in NF control, such as NF scaling out, scaling in, load balancing, etc. To realize NFV elasticity control, network traffic flows need to be redistributed across NF instances. However, deciding which flows are suitable for migration is a critical problem for efficient NFV elasticity control. In this paper, we propose to build an innovative flow migration controller, OFM Controller, to achieve optimized flow migration for NFV elasticity control. We identify the trigger conditions and control goals for different situations, and carefully design models and algorithms to address three major challenges including buffer overflow avoidance, migration cost calculation, and effective flow selection for migration. We implement the OFM Controller on top of NFV and SDN environments. Our evaluation results show that OFM Controller is efficient to support optimized flow migration in NFV elasticity control.
AB - Network Function Virtualization (NFV) together with Software Defined Networking (SDN) offers the potential for enhancing service delivery flexibility and reducing overall costs. Based on the capability of dynamic creation and destruction of network function (NF) instances, NFV provides great elasticity in NF control, such as NF scaling out, scaling in, load balancing, etc. To realize NFV elasticity control, network traffic flows need to be redistributed across NF instances. However, deciding which flows are suitable for migration is a critical problem for efficient NFV elasticity control. In this paper, we propose to build an innovative flow migration controller, OFM Controller, to achieve optimized flow migration for NFV elasticity control. We identify the trigger conditions and control goals for different situations, and carefully design models and algorithms to address three major challenges including buffer overflow avoidance, migration cost calculation, and effective flow selection for migration. We implement the OFM Controller on top of NFV and SDN environments. Our evaluation results show that OFM Controller is efficient to support optimized flow migration in NFV elasticity control.
UR - https://www.scopus.com/pages/publications/85058088503
U2 - 10.1109/IWQoS.2018.8624151
DO - 10.1109/IWQoS.2018.8624151
M3 - Conference contribution
T3 - 2018 IEEE/ACM 26th International Symposium on Quality of Service, IWQoS 2018
BT - 2018 IEEE/ACM 26th International Symposium on Quality of Service, IWQoS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 4 June 2018 through 6 June 2018
ER -