TY - GEN
T1 - Dynamical Controller Placement among SDN Space-Terrestrial Integrated Networks
AU - Zhang, Xuhui
AU - Tang, Feilong
AU - Cao, Lijun
AU - Chen, Long
AU - Yu, Jiadi
AU - Xu, Wenchao
AU - Zhang, Xingjun
AU - Lei, Jianjun
AU - Wang, Zhibo
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12
Y1 - 2020/12
N2 - Software Defined Networking (SDN) provides a flexible way to control heterogeneous network resources, which can effectively manage the space and terrestrial network resources. The controller placement problem is important for SDN-based network, and it is an entirely new challenge in SDN-based space-Terrestrial integrated networks (STINs). In this paper, we firstly propose a SDN-based STIN architecture, where integrates the network resources in layers. Then, we formulate the dynamic controller placement problem in the proposed architecture as a mixed non-integer linear programming problem and prove its NP-hardness. After that, we propose an efficient dynamic controller placement and adjustment (DCPA) algorithm with the consideration of comprehensive expense. Finally, we construct the SDN-based STIN system through extending NS3 and evaluate our proposed algorithm with related schemes. The results demonstrate that our DCPA outperforms related proposals in terms of average response time and load balancing.
AB - Software Defined Networking (SDN) provides a flexible way to control heterogeneous network resources, which can effectively manage the space and terrestrial network resources. The controller placement problem is important for SDN-based network, and it is an entirely new challenge in SDN-based space-Terrestrial integrated networks (STINs). In this paper, we firstly propose a SDN-based STIN architecture, where integrates the network resources in layers. Then, we formulate the dynamic controller placement problem in the proposed architecture as a mixed non-integer linear programming problem and prove its NP-hardness. After that, we propose an efficient dynamic controller placement and adjustment (DCPA) algorithm with the consideration of comprehensive expense. Finally, we construct the SDN-based STIN system through extending NS3 and evaluate our proposed algorithm with related schemes. The results demonstrate that our DCPA outperforms related proposals in terms of average response time and load balancing.
UR - https://www.scopus.com/pages/publications/85105269669
U2 - 10.1109/HPCC-SmartCity-DSS50907.2020.00043
DO - 10.1109/HPCC-SmartCity-DSS50907.2020.00043
M3 - 会议稿件
AN - SCOPUS:85105269669
T3 - Proceedings - 2020 IEEE 22nd International Conference on High Performance Computing and Communications, IEEE 18th International Conference on Smart City and IEEE 6th International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020
SP - 352
EP - 359
BT - Proceedings - 2020 IEEE 22nd International Conference on High Performance Computing and Communications, IEEE 18th International Conference on Smart City and IEEE 6th International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd IEEE International Conference on High Performance Computing and Communications, 18th IEEE International Conference on Smart City and 6th IEEE International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020
Y2 - 14 December 2020 through 16 December 2020
ER -