Parallel database systems: the future of high performance database systems
Communications of the ACM
Low-power CMOS with supply voltages
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Methods for true power minimization
Proceedings of the 2002 IEEE/ACM international conference on Computer-aided design
A performance-conserving approach for reducing peak power consumption in server systems
Proceedings of the 19th annual international conference on Supercomputing
Ensemble-level Power Management for Dense Blade Servers
Proceedings of the 33rd annual international symposium on Computer Architecture
Power provisioning for a warehouse-sized computer
Proceedings of the 34th annual international symposium on Computer architecture
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Dryad: distributed data-parallel programs from sequential building blocks
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
SODA: sensitivity based optimization of disk architecture
Proceedings of the 44th annual Design Automation Conference
No "power" struggles: coordinated multi-level power management for the data center
Proceedings of the 13th international conference on Architectural support for programming languages and operating systems
Statistical profiling-based techniques for effective power provisioning in data centers
Proceedings of the 4th ACM European conference on Computer systems
Improved heterogeneous distance functions
Journal of Artificial Intelligence Research
Addressing the stranded power problem in datacenters using storage workload characterization
Proceedings of the first joint WOSP/SIPEW international conference on Performance engineering
Energy-delay tradeoffs in smartphone applications
Proceedings of the 8th international conference on Mobile systems, applications, and services
Safe overprovisioning: using power limits to increase aggregate throughput
PACS'04 Proceedings of the 4th international conference on Power-Aware Computer Systems
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It is challenging to determine the optimum number of servers required to provision for large online applications because of the conflicting mandates of (a) achieving peak performance needs and (b) minimizing unused datacenter power and capacity. Since Online Services application loads are unpredictable, datacenter operators often conservatively provision for maximum power utilization by characterizing workloads for peak load performance. In contrast, we aim to optimize the service capacity per total cost of ownership (TCO) of an Online Service datacenter deployment by characterizing the energy-delay properties of large scale datacenter workloads. We show that the peak load performance is not the energy efficient point of operation for most applications. We choose two industry-strength workloads (Internet Search and D-Process) and analyze their energy-delay behavior under varying loads. We then calculate the optimal operating point for the specific large-scale application and provision datacenter energy and capacity based on the energy-delay curves. In contrast to workload-based peak power provisioning, we show a 7% benefit in Service Capacity-per-TCO-dollar for the energy-delay characterization methodology in our cost analysis for Online Services Applications.