· 2012
Clearing the clouds
- 815citations
- 2012year
Short summary
Optimizing server hardware to match scale-out workloads is crucial for data centers facing physical space and power constraints.
AI-generated from the title and abstract; the full text is not read.
Key points
- Scale-out workloads demand significant computational resources.
- Data centers face physical limitations in space and power.
- Improvements in computational density and energy efficiency per operation are needed.
- Server hardware must be optimized to match scale-out workload requirements.
AI-generated from the title and abstract; the full text is not read.
Abstract
Emerging scale-out workloads require extensive amounts of computational resources. However, data centers using modern server hardware face physical constraints in space and power, limiting further expansion and calling for improvements in the computational density per server and in the per-operation energy. Continuing to improve the computational resources of the cloud while staying within physical constraints mandates optimizing server efficiency to ensure that server hardware closely matches the needs of scale-out workloads.
The authors' abstract, as published at the source., 2012 · DOI ↗
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Field: Hardware and Architecture
Hardware and ArchitectureComputer Science