VirtualPower: coordinated power management in virtualized enterprise systems
Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
Vpm tokens: virtual machine-aware power budgeting in datacenters
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
On the Use of Linear Programming in Optimizing Energy Costs
IWSOS '08 Proceedings of the 3rd International Workshop on Self-Organizing Systems
VPM tokens: virtual machine-aware power budgeting in datacenters
Cluster Computing
Power-Aware Management in Cloud Data Centers
CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
Q-clouds: managing performance interference effects for QoS-aware clouds
Proceedings of the 5th European conference on Computer systems
Engineering decentralized autonomic computing systems
Proceedings of the second international workshop on Self-organizing architectures
Utility-function-driven energy-efficient cooling in data centers
Proceedings of the 7th international conference on Autonomic computing
The impact of channel variations on wireless distributed computing networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Towards energy-aware autonomic provisioning for virtualized environments
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
CoolIT: coordinating facility and it management for efficient datacenters
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
Online availability upgrades for parity-based RAIDs through supplementary parity augmentations
ACM Transactions on Storage (TOS)
Optimizing the datacenter for data-centric workloads
Proceedings of the international conference on Supercomputing
Towards data center self-diagnosis using a mobile robot
Proceedings of the 8th ACM international conference on Autonomic computing
Robust heterogeneous data center design: a principled approach
ACM SIGMETRICS Performance Evaluation Review
Energy-Efficient Thermal-Aware Autonomic Management of Virtualized HPC Cloud Infrastructure
Journal of Grid Computing
Energy-driven consolidation in digital home
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Whare-map: heterogeneity in "homogeneous" warehouse-scale computers
Proceedings of the 40th Annual International Symposium on Computer Architecture
Market mechanisms for managing datacenters with heterogeneous microarchitectures
ACM Transactions on Computer Systems (TOCS)
Quasar: resource-efficient and QoS-aware cluster management
Proceedings of the 19th international conference on Architectural support for programming languages and operating systems
QoS-Aware scheduling in heterogeneous datacenters with paragon
ACM Transactions on Computer Systems (TOCS)
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It has recently become clear that power management is of critical importance in modern enterprise computing environments. The traditional drive for higher performance has influenced trends towards consolidation and higher densities, artifacts enabled by virtualization and new small form factor server blades. The resulting effect has been increased power and cooling requirements in data centers which elevate ownership costs and put more pressure on rack and enclosure densities. To address these issues, in this paper, we enable power-efficient management of enterprise workloads by exploiting a fundamental characteristic of data centers: "platform heterogeneity". This heterogeneity stems from the architectural and management-capability variations of the underlying platforms. We define an intelligent workload allocation method that leverages heterogeneity characteristics and efficiently maps workloads to the best fitting platforms, significantly improving the power efficiency of the whole data center. We perform this allocation by employing a novel analytical prediction layer that accurately predicts workload power/performance across different platform architectures and power management capabilities. This prediction infrastructure relies upon platform and workload descriptors that we define as part of our work. Our allocation scheme achieves on average 20% improvements in power efficiency for representative heterogeneous data center configurations, highlighting the significant potential of heterogeneity-aware management.