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NDI Communications - Engineering & Training
Software Defined Networking (SDN)
Chapter 4 – SDN Deployment Models
Page 2
Chapter Content
Introduction
Centralized vs Distributed Control
Flow Routing vs. Aggregation
2
Page 3
Introduction and Terms
Symmetric vs Asymmetric:
In an asymmetric model, SDN global information is centralized as much as possible, and edge driving is
distributed as much as possible.
In a symmetrically distributed SDN model, an effort is applied to increase global information
distribution ability, and SDN aggregation performance ability so that the SDN elements are basically
one type of component.
Floodless vs Flood-based:
In a flood-based model, significant amount of the global information sharing is achieved using well
known broadcast and multicast mechanisms.
In a FloodLess model, all forwarding is based on global exact match typically achieved using
Distributed Hashing and Distributed Caching of SDN lookup tables.
Host-based Vs Network Centric:
In a host-based model, under an assumption regarding use of SDN in data-centers with lots of virtual
machines moving to enable elasticity, the SDN encapsulation processing is already done at the
host HyperVisor on behalf of the local virtual machines.
In a Network Centric design, a clearer demarcation is made between network edge and end points.
Such an SDN edge is associated with the access of Top of Rack device and outside the host endpoints.
Page 4
Reactive vs. Proactive (pre-populated)
Reactive
First packet of flow
triggers controller to
insert flow entries
Efficient use of flow
table
Every flow incurs small
additional flow setup time
If control connection lost,
switch has limited utility
Proactive
Controller pre-populates
flow table in switch
Zero additional flow setup
time
Loss of control connection
does not disrupt traffic
Essentially requires
aggregated (wildcard)
rules
Page 5
Reactive vs. Proactive (pre-populated)
Reactive
First packet of flow
triggers controller to
insert flow entries
Efficient use of flow
table
Every flow incurs small
additional flow setup time
If control connection lost,
switch has limited utility
Proactive
Controller pre-populates
flow table in switch
Zero additional flow setup
time
Loss of control connection
does not disrupt traffic
Essentially requires
aggregated (wildcard)
rules
Page 6
Chapter Content
Introduction
Centralized vs Distributed Control
Flow Routing vs. Aggregation
Page 7
SDN Domains
OpenFlow
Switch
Domain
Controller
OpenFlow
Switch
OpenFlow
Switch
OpenFlow
Switch
OpenFlow
Switch
OpenFlow
Switch
OpenFlow Protocol
Domain
Controller
SDNi
Page 8
Chapter Content
Introduction
Centralized vs Distributed Control
Flow Routing vs. Aggregation
Page 9
Flow Routing vs. Aggregation
Flow-Based
Every flow is individually
set up by controller
Exact-match flow
entries
Flow table contains one
entry per flow
Good for fine grain
control, e.g. campus
networks
Aggregated
One flow entry covers
large groups of flows
Wildcard flow entries
Flow table contains one
entry per category of
flows
Good for large number of
flows, e.g. backbone
9
Page 10
Summary
Yoram Orzach
yoram@ndi-com.com
Thank You!!!
Coming soon LIVE on our NEW
e-Learning portal

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Ch 04 --- sdn deployment models

  • 1. NDI Communications - Engineering & Training Software Defined Networking (SDN) Chapter 4 – SDN Deployment Models
  • 2. Page 2 Chapter Content Introduction Centralized vs Distributed Control Flow Routing vs. Aggregation 2
  • 3. Page 3 Introduction and Terms Symmetric vs Asymmetric: In an asymmetric model, SDN global information is centralized as much as possible, and edge driving is distributed as much as possible. In a symmetrically distributed SDN model, an effort is applied to increase global information distribution ability, and SDN aggregation performance ability so that the SDN elements are basically one type of component. Floodless vs Flood-based: In a flood-based model, significant amount of the global information sharing is achieved using well known broadcast and multicast mechanisms. In a FloodLess model, all forwarding is based on global exact match typically achieved using Distributed Hashing and Distributed Caching of SDN lookup tables. Host-based Vs Network Centric: In a host-based model, under an assumption regarding use of SDN in data-centers with lots of virtual machines moving to enable elasticity, the SDN encapsulation processing is already done at the host HyperVisor on behalf of the local virtual machines. In a Network Centric design, a clearer demarcation is made between network edge and end points. Such an SDN edge is associated with the access of Top of Rack device and outside the host endpoints.
  • 4. Page 4 Reactive vs. Proactive (pre-populated) Reactive First packet of flow triggers controller to insert flow entries Efficient use of flow table Every flow incurs small additional flow setup time If control connection lost, switch has limited utility Proactive Controller pre-populates flow table in switch Zero additional flow setup time Loss of control connection does not disrupt traffic Essentially requires aggregated (wildcard) rules
  • 5. Page 5 Reactive vs. Proactive (pre-populated) Reactive First packet of flow triggers controller to insert flow entries Efficient use of flow table Every flow incurs small additional flow setup time If control connection lost, switch has limited utility Proactive Controller pre-populates flow table in switch Zero additional flow setup time Loss of control connection does not disrupt traffic Essentially requires aggregated (wildcard) rules
  • 6. Page 6 Chapter Content Introduction Centralized vs Distributed Control Flow Routing vs. Aggregation
  • 8. Page 8 Chapter Content Introduction Centralized vs Distributed Control Flow Routing vs. Aggregation
  • 9. Page 9 Flow Routing vs. Aggregation Flow-Based Every flow is individually set up by controller Exact-match flow entries Flow table contains one entry per flow Good for fine grain control, e.g. campus networks Aggregated One flow entry covers large groups of flows Wildcard flow entries Flow table contains one entry per category of flows Good for large number of flows, e.g. backbone 9
  • 10. Page 10 Summary Yoram Orzach yoram@ndi-com.com Thank You!!! Coming soon LIVE on our NEW e-Learning portal