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V.0.1.0 Codename Threadbare

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@@ -71,101 +71,150 @@ There may be the potential need to store information beyond pure topologies,
actually about network flows, i.e., information about a group of packets
belonging together.
### neo4j
Due to the fact that network topologies, with all their elements and connections,
can be represented well by a graph, the choice of a graph database for persistence was obvious.
After some initial experiments with RedisGraph, neo4j was chosen,
because neo4j allows the use of multiple labels (for nodes as well as edges)
and offers a wider range of plugins.
## Database
A database will be used for the management and persistence of network
topologies and their associated elements within goSDN.
Since network topologies are often depicted as graphs, it was obvious to stick
to this concept and, also due to their increasing popularity, to use a graph
database. After a more intensive examination of graph databases it was found
that they (with their labels, nodes, relations and properties) are well suited
for a representation of network topologies.
The first basic idea was to create different single graphs representing the
different network topologies and label each node and edge to ensure a clear
assignment to a topology.
This would mean that nodes and edges of a graph have 1...n labels.
Therefore if you want to display a simple network topology in a graph, you can
display the different network elements as individual nodes and the edges between
network elements as their respective connections, such as Ethernet.
This works with both physical and logical topologies, which are described in
more detail [here](#topology-inventory).
So a simple topology in a graph database could look like shown below.
The current implementation offers the possibility to persist different network elements
and their physical topology. It became clear that within the graph database one has to
move away from the basic idea of different independent graphs (topologies) and rather see
the whole construct as a single huge graph with a multitude of relations.
```mermaid
graph TD
A[Node 1 - Label: 'Host,physical'] -->|Ethernet - Label: 'physical'| B[Node 2 - Label: 'Hub,physical']
C[Node 3 - Label: 'Host,physical'] -->|Ethernet - Label: 'physical'| B
B -->|Ethernet - Label: 'physical'| D[Node 4 - Label: 'Host,physical']
B -->|Ethernet - Label: 'physical'| E[Node 5 - Label: 'Host,physical']
```
The following figure shows our first idea of a persistence of network topologies with neo4j.
For this purpose some experiments with the [Redis](https://redis.io/)-Database
module [`RedisGraph`](https://oss.redislabs.com/redisgraph/) were carried out
first. The basic implementation was possible, but the function of assigning
several labels to one node/edge is missing (originally we considered this to be
indispensable especially to map different topologies).
For this reason we looked around for an alternative and with
[neo4j](https://neo4j.com/) we found a graph database, which gives us the
possibility to label nodes and edges with a multitude of labels and offers a
wide range of additional plugins such as [apoc](https://neo4j.com/labs/apoc/).
### neo4j
TODO: add a little description for neo4j in general
#### Implementation With neo4j
The current implementation offers the possibility to persist different network
elements (e.g. devices, interfaces...) and their physical topology and mainly
serves to represent the prototypical dataflow of goSDN to the database.
The following figure shows our first idea of a persistence of network
topologies with neo4j (to save space, only the labels were included).
```mermaid
graph TD
subgraph "representation in Database"
PND[PND 1]
A --> |belongs to| PND
B --> |belongs to| PND
C --> |belongs to| PND
D --> |belongs to| PND
E --> |belongs to| PND
A[Node 1] --> |physical| B[Node 2]
D[Node 4] --> |physical| B
B --> |physical| C[Node 3]
B --> |physical| E[Node 5]
A --> |logical1| B
B --> |logical1| C
C --> |logical1| D
D --> |logical1| E
E --> |logical1| A
end
PND[PND 1]
A --> |belongs to| PND
B --> |belongs to| PND
C --> |belongs to| PND
D --> |belongs to| PND
E --> |belongs to| PND
A[Label: 'Host,physical,logical1'] --> |Label: 'physical'| B[Label: 'Hub,physical,logical1']
D[Label: 'Host,physical,logical1'] --> |Label: 'physical'| B
B --> |Label: 'physical'| C[Label: 'Host,physical,logical1']
B --> |Label: 'physical'| E[Label: 'Host,physical,logical1']
A --> |Label: 'logical1'| B
B --> |Label: 'logical1'| C
C --> |Label: 'logical1'| D
D --> |Label: 'logical1'| E
E --> |Label: 'logical1'| A
```
The basic idea is to assign the different network elements to a specific Principal Network Domain (PND).
The different topologies are represented by a neo4j relationship between the network elements that are
stored as neo4j nodes. However, with this current variant it is not possible, as required in
The basic idea is to assign the different network elements to a specific
Principal Network Domain (PND). The different topologies are represented by a
neo4j relationship between the network elements that are stored as neo4j nodes.
However, with this current variant it is not possible, as required in
[Topology Inventory](#topology-inventory), to represent topologies that are hierarchically
interdependent, since neo4j does not allow relations to be stored as properties (as described [here](https://neo4j.com/docs/cypher-manual/current/syntax/values/#structural-types)
For the reason mentioned above, a more complex idea for persistence is available for the further development, which hopefully allows us to persist and map network elements, PNDs and topologies with all their hirarchical dependencies.
interdependent, since neo4j does not allow relations to be stored as properties
(as described [here](https://neo4j.com/docs/cypher-manual/current/syntax/values/#structural-types)).
Furthermore, multiple links between the same nodes which belong to the same
topology are difficult to represent, since this model only provides a single
link between nodes of a certain topology.
The following figure tries to visualize this idea. The main difference is, that for the different topologies separate nodes are created, to which so-called links belong. The links themselves form a connection between the respective network elements. A link can have several layer protocols, like OTUCN, ODUCN etc.
For the reason mentioned above, a more complex idea for persistence is available
for the further development, which hopefully allows us to persist and map
network elements, PNDs and topologies with all their hirarchical dependencies.
The following figure tries to visualize this idea.
```mermaid
graph TD
subgraph "dependencies of topologies"
logical1 -->|related_to| physical
logical5 -->|related_to| physical
logical3 -->|related_to| logical1
end
subgraph "dependencies of topologies"
logical1 -->|related_to| physical
logical5 -->|related_to| physical
logical3 -->|related_to| logical1
end
subgraph "every node belongs to a specific PND"
Node1 -->|belongs_to| PND
Node2 -->|belongs_to| PND
Node3 -->|belongs_to| PND
Node4 -->|belongs_to| PND
Node5 -->|belongs_to| PND
end
subgraph "every node belongs to a specific PND"
Node1 -->|belongs_to| PND
Node2 -->|belongs_to| PND
Node3 -->|belongs_to| PND
Node4 -->|belongs_to| PND
Node5 -->|belongs_to| PND
end
subgraph "relationship between nodes (nodes can be linked by 0...n links)"
lp2[link_physical]
lp3[link_physical]
lp4[link_physical]
lp5[link_logical1]
lp2 --> |connects| Node4
lp2 --> |connects| Node2
lp3 --> |connects| Node2
lp3 --> |connects| Node3
lp4 --> |connects| Node2
lp4 --> |connects| Node5
lp5 --> |connects| Node1
lp5 --> |connects| Node2
end
subgraph "relationship between nodes (nodes can be linked by 0...n links)"
lp2[link_physical]
lp3[link_physical]
lp4[link_physical]
lp5[link_logical1]
lp2 --> |connects| Node4
lp2 --> |connects| Node2
lp3 --> |connects| Node2
lp3 --> |connects| Node3
lp4 --> |connects| Node2
lp4 --> |connects| Node5
lp5 --> |connects| Node1
lp5 --> |connects| Node2
end
subgraph "links are part of a topology"
lp1[link_physical]
lp1 --> |connects| Node1
lp1 --> |connects| Node2
lp1 --> |part_of| physical
end
subgraph "links are part of a topology"
lp1[link_physical]
lp1 --> |connects| Node1
lp1 --> |connects| Node2
lp1 --> |part_of| physical
end
subgraph "links can contain 1...n layers"
lp2 --> |contains| ODUH
lp2 --> |contains| OTUCN
lp2 --> |contains| ODUCN
end
subgraph "links can contain 1...n layers"
lp2 --> |contains| ODUH
lp2 --> |contains| OTUCN
lp2 --> |contains| ODUCN
end
```
The basic structure explained in the upper part remains the same.
However, the relations, which previously served as links between the respective
nodes, now become **separate nodes**. These nodes now act as links between the
respective network elements and are part of a network topology (which itself
is represented as a separate node in the graph). By this change, network
topologies can now be interdependent. Furthermore, as can be seen in the figure
above, you can add additional nodes to the link nodes by using this scheme.
So a physical link between two nodes could e.g. **contain** several cables.
All other information can be stored in the properties of the respective nodes/edges.
The above idea is not yet approved and there are still open questions.
- Is there a better solution for the assumption that there are several different physical connections between the same nodes than separate link nodes between them?
- Can topologies run over different PNDs -> membership to different PNDs?
- Where can we benefit from using different layers? (e.g. possible saving of unnecessary relations between nodes)
- Do the sdn controllers provide us with the necessary information to map the topologies in this way?
- ...
## YANG to code
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