What are components of autonomic networking?

The concept of the autonomic systems has been derived from a biological entity called the autonomic nervous system (ANS). In human body this system is responsible for carrying out functions such as blood pressure and circulation, respiration and emotive response. 

In this article we discuss about the various components of the autonomic networking.

Components of Autonomic Networking

Autognostics: 

- This category of autonomic components includes capabilities such as that of awareness, self – discovery and self – analysis. 

- With all these capabilities, an autonomic system is capable of having a high – level view. 

- In other words, we can say that perceptual sub–systems are represented by it which serves the purpose of gathering, analyzing and reporting on the conditions and states of the system. 

- These components provide a basis to the system for responding and validating its decisions. 

- In simple words, autognostics provide self – knowledge. 

- This component if is rich, might provide various perceptual senses. 

-In autonomic systems, models of both the external and internal environments are embedded through which perceived threats and states can be assigned some relative value. 

- When it comes to autonomic networking, inputs from the following are taken for defining the state of the network:

a) Various network elements such as network interfaces and switches (inclusive of the current state and specification and configuration.

b) End – host

c)  Traffic flows

d) Logical diagrams

e) Design specifications

f)   Application performance data

- This component inter operates with the other components of the autonomic system.

Configuration management: 

- The responsibility for the interactions that take place among the interfaces and the elements.

- It consists of an accounting capability with which it is possible to track the configurations over the time under various circumstances. 

- Metaphorically, they act as the memory for the autonomic systems. 

- Provision and the remediation over a network can be applied through the configuration settings.

- In addition to these, two other things which can be applied are the selective performance and the implementation affecting access.

- This category only contains the actions that are taken by the human engineers. 

- There are a very few exceptional cases where the interface settings are configured manually using the automated scripts. 

- The dynamic population of the devices is maintained implicitly.

- This component must have the capability operating on all devices and to recover the old configuration settings. 

- There can be some situations where the states may become unrecoverable. 

- Therefore, the sub – system must be capable of assessing the consequence of the changes before they are issued.

Policy management: 

- This component is inclusive of the following:

a)   Policy specification

b)   Deployment

c)   Reasoning over the policies

d)   Update of policies

e)   Maintenance of the policies

f)    Enforcement

- The reasons for including this component are:

a)  Configuration management

b)  Definition of the roles and relationships

c)  Establishment of trust and reputation

d)  Description of business processes

e)  Definition of performance

f) Constraints on behavior issues such as privacy, resource access, collaboration and security.

- It represents a model of ideal behavior and environment representing effective interaction.

- For defining the constituents of a policy it is important to know what all is involved in its management.

Autodefense: 

- The mechanism presented by this component is both dynamic and adaptive in nature.

- This mechanism has been developed to keep the network infrastructure safe from the malicious attacks. 

- Further, it also prevents the illegal use of the infrastructure for attacking the various technological resources. 

- This component has the capability of striking a balance between the various performance objectives that have threat management actions. 

- This component can be compared to the immune system of the human body.

Security: 

The structure provided by the security component is responsible for defining and enforcing the relationships between the following:

a)   Roles

b)   Content

c)   resources

What are characteristics of autonomic system?

Autonomic systems bring both challenges as well as opportunities for the future networking. The increasing numbers of users have had a negative impact on the complexity of the networks; it has also increased by multiple folds. Autonomic systems provide a solution for this problem. 

Characteristics of Autonomic System

1. High intelligence: These systems have more intelligence incorporated in to them which lets them tackle this increasing complexity easily.
2. Business Goal: They are driven by the business goal that the quality of experience of the user must be high. Even with the changing environment, there goals remain the same. But there are changes that take place in the low – level configurations. For example, when a user switches over to a low bandwidth network, the bit rate of the video has to be reduced in order to satisfy the goals of the business.
3. Complex operations: All the operations carried out in an autonomic system are complex in nature even for the simplest of the services. For example, authentication, video encoding, billing, routing, shaping, QoS prioritizing, admission control.
4. High level objectives: The human operator just has to specify the high – level objectives and it is left to the system whether it chooses to optimize one or more of the goals. In order to achieve this, the system has to translate these objectives in to low – level configurations.
5. Adaptability: The system has the ability to adapt itself to the current environment.
6. Policy continuum: There are a number of perspectives to this as mentioned below:

Ø  Business view: Includes guidelines, processes and goals.

Ø  System view: The service should be independent of the technology as well as the device that is being used.

Ø  Network view: It should be specific to technology but independent of the device.

Ø  Device view: Both technology and device specific.

Ø  Instance view: Operation should be specific to an instance.

7. Elements: The elements of the network are assumed to be heterogeneous by the autonomic communication systems whereas in plain autonomic computing the elements are taken to be as the homogeneous.
8. Distributed: These systems work up on a distributed environment.
9. Complexity: The complexity in autonomic systems is more because of the complex autonomic loop that includes the following operations:

Ø  Interaction between the context  and the business goals

Ø  The MAPE (monitor, analyze, plan and execute) loop.

10. Reliability: In autonomic systems, the network has the authority to decide for itself focusing on high level objectives. Autonomic systems rely heavily up on artificial intelligence. However, there are issues associated with artificial intelligence like it becomes difficult to intervene in between when the things go wrong.It is quite difficult to know whether the system is doing the things it is supposed to do or not.

11. Scalability: This is another major characteristic of autonomic systems. It is required to keep track of the large amounts of knowledge and information. Autonomic systems have three tools to take care of this:

Ø Distributed ontologies

Ø Distributed large – scale reasoning

Ø Exchanging only the useful information

ØDistributing information among the different components of the autonomic network.

But in these cases, detection of the conflicts is a difficult task. For handling the various interactions taking place the various autonomic components efficient protocols are required. 

Currently two approaches have been suggested for developing the autonomic networking systems namely:

1. Evolutionary Approach: Incorporating the autonomic behavior in to the pre – existing infrastructure. This approach will consist of updates in increments till a fully autonomic system is developed. This approach is more likely to be adopted even though it requires a lot of patchwork.

2.  Clean slate approach: This approach is focused up on re – designing of the internet.

What are autonomic systems? What is the basic concept behind autonomic system?

In this article we shall discuss about the autonomic systems, but before moving on to that we shall see a brief discussion regarding the autonomic computing. 

About Autonomic Computing

- Distributed computing resources have the ability of self–management. 

- This kind of computing is called autonomic computing and such systems are called autonomic systems. 

- Because of their unique capabilities, these systems are able to adapt to the changes that are both predictable and unpredictable. 

- At the same time, these systems keep the intrinsic complexities hidden from the users as well as the operators. 

- The concept of autonomic computing was initiated by IBM in the year of 2001. - This was started in order to keep a curb on the growing complexity of the management of the computer systems and also to remove any complexity barriers that prove to be a hindrance in development.

About Autonomic Systems

- Autonomic systems have the power to make decisions of their own. 

- They do this because of the high level policies. 

- These systems automatically check and optimize their status and adapt to the conditions that have changed. 

- The frame work of these computing systems is constituted of various autonomic components that are continuously interacting with each other. 

- Following are used to model an autonomic component:

1. 2 main control loops namely the global and the local.
2. Sensors (required self – monitoring)
3. Effectors (required for self-adjustment)
4. Knowledge
5. Adapter or planner

- The number of computing devices is increasing by a great margin every year. - Not only this, each device’s complexity is also increasing. 

- At present highly skilled humans are responsible for managing such huge volume of complexity. 

- The problem here is that the number of such skilled personnel is not much and this has led to a rise in the labor costs.

- It is true that the speed and automation of the computing systems have revolutionized the way world runs but now there is a need for a system that is capable of maintaining these systems without any human intervention. 

- Complexity is a major problem of the today’s distributed computing systems particularly concerning their management. 

- Large scale computer networks are employed by the organizations and institutions for their computation and communication purposes. 

- These systems run diverse distributed applications that are capable of dealing with a number of tasks. 

- These networks are being pervaded by the growing mobile computing. 

- This means that the employees have to be contact with their organizations outside office through devices such as PDAs, mobile phones and laptops that connect through wireless technologies. 

- All these things add to the complexity of the overall network that cannot be managed by human operators alone. 

- There are 3 main disadvantages of manual operating:

1. Consumes more time
2. Expensive
3. Prone to errors

- Autonomic systems are a solution to such problems since they are self – adjustable and do not require human intervention. 

- The inspiration or the concept behind the autonomic systems is the autonomic nervous system found in humans.

- This self – manageable system controls all the bodily functions unconsciously. - In autonomic systems, the human operator just has to specify the high level goals and rules and policies that would guide the management. 

- There are 4 functional areas of an autonomic system:

1. Self–configuration: Responsible for the automatic configuration of the network components.
2. Self–healing: Responsible for the automatic detection and correction of the errors.
3. Self–optimization: Monitors and controls the resources automatically.
4. Self–protection: Identifies the attacks and provides protection against them.

- Below mentioned are some characteristics of the autonomic systems:

1. Automatic
2. Adaptive
3. aware