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FAWN:
A Fast Array of Wimpy Nodes
Presented by:
Clint Sbisa & Irene Haque
Motivation
Large-scale data-intensive applications
Facebook, LinkedIn, Dynamo
CPU-I/O Gap
storage, network and memory bottlenecks
low CPU utilization
CPU Power
slower CPUs execute more queries per second per Watt
1 billion vs. 100 million instructions per Joule
inefficient energy saving techniques
Memory Power
FAWN
Data-intensive, computational simple workloads
Small objects - 100B - 1KB
Cluster of embedded CPUs using flash storage
Efficient
Fast random reads
Slow random writes
FAWN-KV
Key-value storage
Consistent Hashing
FAWN-DS
Data store
Log structured

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  • 1. FAWN: A Fast Array of Wimpy Nodes Presented by: Clint Sbisa & Irene Haque
  • 2. Motivation Large-scale data-intensive applications Facebook, LinkedIn, Dynamo CPU-I/O Gap storage, network and memory bottlenecks low CPU utilization CPU Power slower CPUs execute more queries per second per Watt 1 billion vs. 100 million instructions per Joule inefficient energy saving techniques Memory Power
  • 3. FAWN Data-intensive, computational simple workloads Small objects - 100B - 1KB Cluster of embedded CPUs using flash storage Efficient Fast random reads Slow random writes FAWN-KV Key-value storage Consistent Hashing FAWN-DS Data store Log structured