What is autonomic networking?

- The concept of autonomic networking follows directly from the automatic computing.

- The initiation of the autonomic computing was done by the IBM Corporation in the year of 2001.

- This concept has been brought in to the present world networking scenario in order to make the creation of self - managing networks possible. 

- Self managing networks are required for overcoming the complexity of the various networks (including internet) that is increasing at a very rapid pace. 

- This is also necessary for the further growth of the networks i.e., beyond the network size that we have today. 

- Autonomic networking is a means for the management of the network complexity. 

- In future, it is quite a possibility that routers could not be configured directly. - A point will come when it won’t be manageable by humans. 

- Autonomic networking will also minimize the manual intervention to a large extent plus it will also cut down the dependencies on the operator. 

- NMS intervention will also be reduced. 

- A fully – fledged autonomic network is expected to be capable of the following:

Ø  Self – configuration

Ø  Self – protection

Ø  Self – optimization

Ø  Self – healing

- In traditional networking systems, the amount of configuration, monitoring and reporting to be done is very large and amount of routing is very less. 

- In the autonomic networking systems, things are just the opposite i.e., there is less amount of intent, feedback and reporting and routing is more along with the other operations such as discovery and autonomic interactions. 

In autonomic networking, there are 3 characteristics of the administrator interface:

1. It is abstract
2. Light weight
3. Wide scope

- The increasing complexity of the network is viewed as a problem by most of the experts and that it might prove to be hindrance in its usability in the near future. 

- Number of PDAs, game consoles and smart phones is increasing day by day and these need an interconnection.

- Though such kind of pervasive computing adds features but it also increases the burden on the networking infrastructure that already exists since the number of tasks is so large that it is very difficult for humans to manage alone. - Another thing that adds to the problem is the cost of keeping a manual control on a number of devices in the infrastructure.

- Another important aspect is the price of manually controlling huge numbers

of vitally important devices of current network infrastructures.

- An analogy to autonomic nervous systems is the autonomic nervous system

or ANS. 

- This system regulates all the functions of the body and its various organs.

- Autonomic network systems bear a close resemblance to the ANS.

- Autonomic networking is all about adding more intelligence to the network.

- A number of complex operations are required to be carried out such as admission control, authentication, billing, shaping, routing, policing, QoS prioritizing and video encoding for providing simple services to the customer. 

There are a number of problems in the way of network as mentioned below:

1. The ever increasing size of the network.
2. The heterogeneous nature of the applications and devices.
3. Increase in the requirement of service quality.
4. Increase in the user expectations.
5. Ever changing requirements.
6. Changing context

- Pre – defined context is kept in while designing networks with the traditional approaches. 

- Whenever there is a change in the context, it leads to more time consuming manual tasks. 

- Algorithms used today do not have the ability of detecting context changes and interpreting the policies. 

- Such manual management causes more loss and outages in the revenue of the organization. 

- In autonomic networking, the system itself optimizes the goals.