Explained preserved IPs
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- $$Efficiency = E = Speedup / n = 1 / ( \alpha \times n + 1 - \alpha )$$
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- Efficiency is low, when load is large, because most nodes are idling (waiting
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for serial computation to complete)
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- Also called **fixed workload efficiency**
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### Gustafson’s Law
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## Types of scaling
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- Strong: How performances changes, by increasing **processors** for **fixed** problem
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- Weak: How the performance changes by increasing **processors** for **problem per processor**
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- Strong: How performances changes, by increasing **processors** for **fixed**
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problem
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- Weak: How the performance changes by increasing **processors** for **problem
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per processor**
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## Scalability in cloud computing
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- Elasticity: resource can be altered
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- Virtualization scaling: adding existing system to cloud
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- Performance issues: Performance of virtualized components may be slower than bare metal
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- Performance issues: Performance of virtualized components may be slower
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than bare metal
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- Scale by migrating resources: Regions and Availaility Zones
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- Region: physical geographical location, that consists of one or more zones
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- Load balancing: AWS Elastic Load balancing, distributes incoming application
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traffic across multiple targets.
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- Auto scaling: AWS EC2 auto scaling
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- CDN: AWS CloudFront, use edge caching on edge location to serve content to anywhere closer to the vieweer, in order to achieve lower **latency** and higher **transfer speed**
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- CDN: AWS CloudFront, use edge caching on edge location to serve content to
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anywhere closer to the vieweer, in order to achieve lower **latency** and
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higher **transfer speed**
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- TODO: work the questions
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available
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- Possible EC **Instances**: Number of possible IP addresses minus **5**
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- AWS reserved the first 4 and last IP addresses (4+1=5)
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- First and last: network address and broadcast address
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- From the last example, there can be atmost $4096 - 5 = 4091$ instances in
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the network
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