Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Virtualizing I/O Devices on VMware Workstation's Hosted Virtual Machine Monitor
Proceedings of the General Track: 2002 USENIX Annual Technical Conference
Dynamic Thermal Management for High-Performance Microprocessors
HPCA '01 Proceedings of the 7th International Symposium on High-Performance Computer Architecture
Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
VSV: L2-Miss-Driven Variable Supply-Voltage Scaling for Low Power
Proceedings of the 36th annual IEEE/ACM International Symposium on Microarchitecture
Single-ISA Heterogeneous Multi-Core Architectures for Multithreaded Workload Performance
Proceedings of the 31st annual international symposium on Computer architecture
Microarchitecture Optimizations for Exploiting Memory-Level Parallelism
Proceedings of the 31st annual international symposium on Computer architecture
Scheduling Processor Voltage and Frequency in Server and Cluster Systems
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 11 - Volume 12
Scheduling for heterogeneous processors in server systems
Proceedings of the 2nd conference on Computing frontiers
Energy conservation in heterogeneous server clusters
Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming
Boosting Data Center Performance Through Non-Uniform Power Allocation
ICAC '05 Proceedings of the Second International Conference on Automatic Computing
Ensemble-level Power Management for Dense Blade Servers
Proceedings of the 33rd annual international symposium on Computer Architecture
On evaluating request-distribution schemes for saving energy in server clusters
ISPASS '03 Proceedings of the 2003 IEEE International Symposium on Performance Analysis of Systems and Software
Mercury and freon: temperature emulation and management for server systems
Proceedings of the 12th international conference on Architectural support for programming languages and operating systems
Proceedings of the 39th Annual IEEE/ACM International Symposium on Microarchitecture
Making scheduling "cool": temperature-aware workload placement in data centers
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
Power provisioning for a warehouse-sized computer
Proceedings of the 34th annual international symposium on Computer architecture
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
ICAC '07 Proceedings of the Fourth International Conference on Autonomic Computing
Exploiting Platform Heterogeneity for Power Efficient Data Centers
ICAC '07 Proceedings of the Fourth International Conference on Autonomic Computing
Energy-efficient server clusters
PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
Low-energy automated scheduling of computing resources
Proceedings of the 1st ACM/IEEE workshop on Autonomic computing in economics
Energy- and performance-aware scheduling of tasks on parallel and distributed systems
ACM Journal on Emerging Technologies in Computing Systems (JETC)
Techniques for energy-efficient power budgeting in data centers
Proceedings of the 50th Annual Design Automation Conference
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Power management is becoming an increasingly critical component of 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, we exploit 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 heterogeneity-aware load management (HALM) system that leverages heterogeneity characteristics to provide two data center level benefits: (i) power efficient allocations of workloads to the best fitting platforms and (ii) improved overall performance in a power constrained environment. Our infrastructure relies upon platform and workload descriptors as well as a novel analytical prediction layer that accurately predicts workload power/performance across different platform architectures and power management capabilities. Our allocation scheme achieves on average 20% improvements in power efficiency for representative heterogeneous data center configurations, and up to 18% improvements in performance degradation when power budgeting must be performed. These results highlight the significant potential of heterogeneity-aware management.