TY - GEN
T1 - Interference and topology-aware VM live migrations in software-defined networks
AU - Qin, Yiling
AU - Zhang, Lun
AU - Xu, Fei
AU - Luo, Daidong
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - Live migration of virtual machines (VMs) serves as the key technique that enables the resource management, server maintenance, and load balancing in cloud datacenters, while introducing a sufficient amount of performance degradation to both the source and destination physical machines (PMs) during and after the migration. Existing works generally focus on either minimizing the VM migration time (or downtime) or reducing the performance degradation for an individual VM migration from the host aspect. Jointly optimizing the performance of multiple concurrent VM migrations and the performance interference among VMs from the network aspect, however, receives comparably little attention. Leveraging the benefits of Software-Defined Network (SDN), in this paper, we propose ITEM, an Interference and Topology-awarE VM live Migration strategy to minimize the overall VM migration cost, which jointly optimizes the VM migration time during the migration and the VM performance interference after the migration. Specifically, our ITEM strategy seeks to decide the optimal migration destination PM, the migration path, and the allocated network bandwidth for a single migration (ITEM-S) and a set of concurrent migrations (ITEM-M). Extensive experiments using OpenFlow in the Mininet virtual network environment show that our ITEM strategy can significantly reduce the migration cost and improve the network bandwidth utilization, in comparison to the state-of-the-art VM migration strategies, yet with acceptable runtime overhead.
AB - Live migration of virtual machines (VMs) serves as the key technique that enables the resource management, server maintenance, and load balancing in cloud datacenters, while introducing a sufficient amount of performance degradation to both the source and destination physical machines (PMs) during and after the migration. Existing works generally focus on either minimizing the VM migration time (or downtime) or reducing the performance degradation for an individual VM migration from the host aspect. Jointly optimizing the performance of multiple concurrent VM migrations and the performance interference among VMs from the network aspect, however, receives comparably little attention. Leveraging the benefits of Software-Defined Network (SDN), in this paper, we propose ITEM, an Interference and Topology-awarE VM live Migration strategy to minimize the overall VM migration cost, which jointly optimizes the VM migration time during the migration and the VM performance interference after the migration. Specifically, our ITEM strategy seeks to decide the optimal migration destination PM, the migration path, and the allocated network bandwidth for a single migration (ITEM-S) and a set of concurrent migrations (ITEM-M). Extensive experiments using OpenFlow in the Mininet virtual network environment show that our ITEM strategy can significantly reduce the migration cost and improve the network bandwidth utilization, in comparison to the state-of-the-art VM migration strategies, yet with acceptable runtime overhead.
KW - Network topology
KW - Software defined network
KW - VM live migration
KW - VM performance interference
UR - https://www.scopus.com/pages/publications/85073497132
U2 - 10.1109/HPCC/SmartCity/DSS.2019.00152
DO - 10.1109/HPCC/SmartCity/DSS.2019.00152
M3 - 会议稿件
AN - SCOPUS:85073497132
T3 - Proceedings - 21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019
SP - 1068
EP - 1075
BT - Proceedings - 21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019
A2 - Xiao, Zheng
A2 - Yang, Laurence T.
A2 - Balaji, Pavan
A2 - Li, Tao
A2 - Li, Keqin
A2 - Zomaya, Albert
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019
Y2 - 10 August 2019 through 12 August 2019
ER -