DocumentCode :
3301898
Title :
Performance-driven live migration of multiple virtual machines in datacenters
Author :
Sarker, Tusher Kumer ; Maolin Tang
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Queensland Univ. of Technol., Brisbane, QLD, Australia
fYear :
2013
fDate :
13-15 Dec. 2013
Firstpage :
253
Lastpage :
258
Abstract :
Live migration of multiple Virtual Machines (VMs) has become an indispensible management activity in datacenters for application performance, load balancing, server consolidation. While state-of-the-art live VM migration strategies focus on the improvement of the migration performance of a single VM, little attention has been given to the case of multiple VMs migration. Moreover, existing works on live VM migration ignore the inter-VM dependencies, and underlying network topology and its bandwidth. Different sequences of migration and different allocations of bandwidth result in different total migration times and total migration downtimes. This paper concentrates on developing a multiple VMs migration scheduling algorithm such that the performance of migration is maximized. We evaluate our proposed algorithm through simulation. The simulation results show that our proposed algorithm can migrate multiple VMs on any datacenter with minimum total migration time and total migration downtime.
Keywords :
computer centres; scheduling; virtual machines; datacenters; live VM migration; management activity; multiple VMs migration scheduling algorithm; multiple virtual machines; performance-driven live migration; total migration downtime; total migration time; Bandwidth; Data transfer; Memory management; Resource management; Scheduling; Scheduling algorithms; System recovery; datacenter; live VM migration; migration deadlock; scheduling; total migration downtime; total migration time;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing (GrC), 2013 IEEE International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/GrC.2013.6740417
Filename :
6740417
Link To Document :
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