Explained preserved IPs
This commit is contained in:
parent
886477b6f0
commit
2ea1af6ec0
|
@ -70,6 +70,7 @@
|
||||||
- $$Efficiency = E = Speedup / n = 1 / ( \alpha \times n + 1 - \alpha )$$
|
- $$Efficiency = E = Speedup / n = 1 / ( \alpha \times n + 1 - \alpha )$$
|
||||||
- Efficiency is low, when load is large, because most nodes are idling (waiting
|
- Efficiency is low, when load is large, because most nodes are idling (waiting
|
||||||
for serial computation to complete)
|
for serial computation to complete)
|
||||||
|
- Also called **fixed workload efficiency**
|
||||||
|
|
||||||
### Gustafson’s Law
|
### Gustafson’s Law
|
||||||
|
|
||||||
|
@ -96,18 +97,23 @@
|
||||||
|
|
||||||
## Types of scaling
|
## Types of scaling
|
||||||
|
|
||||||
- Strong: How performances changes, by increasing **processors** for **fixed** problem
|
- Strong: How performances changes, by increasing **processors** for **fixed**
|
||||||
- Weak: How the performance changes by increasing **processors** for **problem per processor**
|
problem
|
||||||
|
- Weak: How the performance changes by increasing **processors** for **problem
|
||||||
|
per processor**
|
||||||
|
|
||||||
## Scalability in cloud computing
|
## Scalability in cloud computing
|
||||||
|
|
||||||
- Elasticity: resource can be altered
|
- Elasticity: resource can be altered
|
||||||
- Virtualization scaling: adding existing system to cloud
|
- Virtualization scaling: adding existing system to cloud
|
||||||
- Performance issues: Performance of virtualized components may be slower than bare metal
|
- Performance issues: Performance of virtualized components may be slower
|
||||||
|
than bare metal
|
||||||
- Scale by migrating resources: Regions and Availaility Zones
|
- Scale by migrating resources: Regions and Availaility Zones
|
||||||
- Region: physical geographical location, that consists of one or more zones
|
- Region: physical geographical location, that consists of one or more zones
|
||||||
- Load balancing: AWS Elastic Load balancing, distributes incoming application
|
- Load balancing: AWS Elastic Load balancing, distributes incoming application
|
||||||
traffic across multiple targets.
|
traffic across multiple targets.
|
||||||
- Auto scaling: AWS EC2 auto scaling
|
- Auto scaling: AWS EC2 auto scaling
|
||||||
- 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**
|
- 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**
|
||||||
- TODO: work the questions
|
- TODO: work the questions
|
||||||
|
|
|
@ -87,6 +87,7 @@
|
||||||
available
|
available
|
||||||
- Possible EC **Instances**: Number of possible IP addresses minus **5**
|
- Possible EC **Instances**: Number of possible IP addresses minus **5**
|
||||||
- AWS reserved the first 4 and last IP addresses (4+1=5)
|
- AWS reserved the first 4 and last IP addresses (4+1=5)
|
||||||
|
- First and last: network address and broadcast address
|
||||||
- From the last example, there can be atmost $4096 - 5 = 4091$ instances in
|
- From the last example, there can be atmost $4096 - 5 = 4091$ instances in
|
||||||
the network
|
the network
|
||||||
|
|
||||||
|
|
Loading…
Reference in a new issue