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Capacity and Performance Overhead in Dynamic Resource Allocation to Virtual Containers
Proceedings of the IFIP/IEEE Symposium on Integrated Management (IM'2007).
Abstract: Today’s enterprise data centers are shifting towards a
utility computing model where many business critical
applications share a common pool of infrastructure resources
that offer capacity on demand. Management of such a pool
requires having a control system that can dynamically allocate
resources to applications in real time. Although this is possible by
use of virtualization technologies, capacity overhead or actuation
delay may occur due to frequent re-scheduling in the
virtualization layer. This paper evaluates the overhead of a
dynamic allocation scheme in both system capacity and
application-level performance relative to static allocation. We
conducted experiments with virtual containers built using Xen
and OpenVZ technologies for hosting both computational and
transactional workloads. We present the results of the
experiments as well as plausible explanations for them. We also
describe implications and guidelines for feedback controller
design in a dynamic allocation system based on our observations.