Abstract:
Live virtual machine (VM) migration
provides great benefits for load balancing,
power management, fault tolerance and other
system maintenance issues in modern data
centers. VM live migration basically consists of
transferring its memory pages from a source
server to a destination server. The amount of
transferred memory pages affected the downtime
and application performance of virtual
machines. In pre-copy approach in live VM
migration, total migration time is prolonged the
significant amount of transferred data during the
whole migration process. In this paper, we
propose a working set prediction algorithm
which combine LRU (Least Recently Used) cache
with splay tree algorithm. Deploying splay tree
algorithm with LRU, the proposed algorithm
predict the memory pages of the most recent
process and define as the working set. Applying
the proposed algorithm, we can reduce the
amount of transferred memory pages during
migration process by transferring the working
set in last round. Experiment demonstrates that
compared with XEN’s default pre-copy based
migration algorithm, the proposed algorithm can
reduce 23.67% of the total transferred memory
pages during migration process.
