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AWS
algorithm-design
architecture
cloud-principles
cost-reduction
data-centric
data-compression
data-processing
deployment
design
edge-computing
energy-footprint
hardware
libraries
locality
machine-learning
management
measured
migration
model-optimization
model-training
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workloads
Tactic(s) categorized as "edge-computing"
- Always on (UP)
- Bloating (UP)
- Concealed impact (UP)
- Digital exclusion (UP)
- Efficiency trap (UP)
- Fragmentation (UP)
- Green-washing (UP)
- Hardware multiplication (UP)
- One-sided infrastructure control (UP)
- Planned rebound effect (UP)
- Redundancy overhead (UP)
- Security overhead (UP)
- Technical debt (UP)
- Trust overhead (UP)
- Unauthorized surveillance (UP)
- Uninformed use (UP)
- Unprofitable optimization (UP)