Title :
Prevent VM Migration in Virtualized Clusters via Deadline Driven Placement Policy
Author :
Ming-Han Tsai ; Chou, Jyh-Horng ; Jye Chen
Author_Institution :
Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Abstract :
VM consolidation has been shown as a promising technique for saving energy costs of a data center. It relies on VM migration to move user applications or jobs onto fewer numbers of physical servers during off peak hour. However, VM migration is a costly operation that could cause several concerns, such as performance degradation and system instability. Most existing works were proposed to minimize the migration cost for dynamic consolidation which migrates VM at the runtime when SLA violation or resource under-utilization is detected. In contrast, this paper aims to proactively prevent VM migration for semi-static VM consolidation by proposing a deadline driven VM placement strategy based on the awareness of the server turn-off time and job execution time. We evaluate our approach using a real HPC cluster trace as well as a set of synthetic generated workloads. The results show our approach can significantly reduce the number of migrations by 70% on the real trace. We also demonstrate that our approach can be resilient to different workload patterns by achieving consistent improvement around 50% over all the synthetic workloads.
Keywords :
computer centres; contracts; parallel processing; power aware computing; virtual machines; HPC cluster trace; SLA violation; VM migration prevention; data center; deadline driven VM placement strategy; deadline driven placement policy; energy cost saving; job execution time; performance degradation; resource under-utilization; semistatic VM consolidation; server turn-off time; service level agreement; synthetic generated workloads; system instability; virtual machines; virtualized clusters; Electronic mail; Generators; Loading; Memory management; Program processors; Runtime; Servers; Energy Efficient; Management; Virtualization;
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on
Conference_Location :
Bristol
DOI :
10.1109/CloudCom.2013.85