2013 · 48 citations · 26 references
ComputingComputer SystemsResource EconomicsCloud ArchitectureCloud EconomicsCloud InfrastructureCloud Capacity PlanningCompute Resource ManagementEnergy-efficient Cloud ComputingPower ManagementResource ProvisioningScalability ArchitectureData Center Capacity PlanningData ProcessingElectrical Power InfrastructureEquipment ProvisioningLead TimePower-aware ProvisioningScalable Cloud ComputingServer Utilization
As cloud applications proliferate and data-processing demands increase, server resources must grow to unleash the performance of emerging workloads that scale well with large number of compute nodes. Nevertheless, power has become a crucial bottleneck that restricts horizontal scaling (scale out) of server systems, especially in datacenters that employ power over-subscription. When a datacenter hits the maximum capacity of its power provisioning equipment, the owner has to either build another facility or upgrade existing utility power infrastructure -- both approaches add huge capital expenditure, require significant construction lead time, and can further increase the owner's carbon footprint.
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