Abstract:
Live migration of virtual machines has been a
powerful tool to facilitate system maintenance,
load balancing, fault tolerance, and powersaving
in clusters or data centers. In pre-copy
approach that is mainly used in live migration,
VM service downtime is expected to be minimal
but total migration time is prolonged by iterative
copy operations and the significant amount of
transferred data during the whole migration
process. In this paper, we present a framework
that includes pre-processing phase, push phase
and stop phase, for reducing the amount of
transferred data in pre-copy based live
migration. In pre-processing phase of the
framework, we propose Least Recently Used
(LRU) based working set prediction algorithm in
physical memory of virtual machine. The
proposed algorithm classify working set list that
collects the most recent used memory pages and
inactive list that collects the least recent used
memory pages. Applying the proposed working
set prediction algorithm, we can reduce the
amount of iteration time of push phase and
reduce the total migration time. From
calculation result compared with pre copy based
live migration that is not include pre-processing
phase, the proposed framework can reduce the
total migration time.
