Ensemble-level Power Management for Dense Blade Servers
Proceedings of the 33rd annual international symposium on Computer Architecture
Improved approximation algorithms for multidimensional bin packing problems
FOCS '06 Proceedings of the 47th Annual IEEE Symposium on Foundations of Computer Science
Fast transparent migration for virtual machines
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
VirtualPower: coordinated power management in virtualized enterprise systems
Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
Combining batch execution and leasing using virtual machines
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
pMapper: power and migration cost aware application placement in virtualized systems
Proceedings of the 9th ACM/IFIP/USENIX International Conference on Middleware
Automated control of multiple virtualized resources
Proceedings of the 4th ACM European conference on Computer systems
A cost-sensitive adaptation engine for server consolidation of multitier applications
Proceedings of the 10th ACM/IFIP/USENIX International Conference on Middleware
Server workload analysis for power minimization using consolidation
USENIX'09 Proceedings of the 2009 conference on USENIX Annual technical conference
The cost of reconfiguration in a cloud
Proceedings of the 11th International Middleware Conference Industrial track
BrownMap: enforcing power budget in shared data centers
Proceedings of the ACM/IFIP/USENIX 11th International Conference on Middleware
CosMig: Modeling the Impact of Reconfiguration in a Cloud
MASCOTS '11 Proceedings of the 2011 IEEE 19th Annual International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems
Dynamic resource allocation with management objectives: implementation for an OpenStack cloud
Proceedings of the 8th International Conference on Network and Service Management
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On-demand service activation and deactivation has made private cloud a platform of choice for enterprises. Private clouds allow end users to request virtual machines along with a lease period, during which the virtual machine will be utilized. Automatic deactivation of virtual machines due to the expiry of the lease leads to fragmentation of the cloud; a large number of physical servers become operational with low utilization as virtual machines have been deactivated. To optimize the use of resources, clouds would need to periodically 'de-fragment' the cloud, leading to performance implications. In this work, we propose a service deactivation aware placement methodology, SDAP, which places virtual machines in a way that minimizes the cost of de-fragmentation in the cloud. Coupled with SDAP, we also propose a low cost de-fragmentation methodology, Defrag, to periodically consolidate the cloud. Using request traces from a live production cloud, we show that SDAP and Defrag can ensure high utilization in the cloud without expensive defragmentation costs.