Autonomic Network Management as a solution to Management Co - PowerPoint Presentation

Slide1

Autonomic Network Management as a solution to Management Complexity

By

Ehimare Philip Imobhio,

Sravya Kalapala and

Prasanth Gutti

Slide2

Introduction

Communication Networks has greatly increased in size and complexity recently. Also, end users and service level requirements have become drastically more vast. This has made managing large-scale systems more difficult and it constantly on the increase. This project aim is to bring a lasting solution to this management complexity by managing current and future communication networks. We therefore are introducing Autonomic Network Management System.Slide3

This system has a major goal and this is to and this is to adapt the network’s services and resources in parallel to environmental changes and user requirements. We will also be introducing the Policy Network Management Architecture which enable the system to effectively automate low-level configurations in compliance with high level business goals therefore, the increasing management complexity can be handled by the system itself.Slide4

Factors Deciding Autonomic System Performance

Self Locating

Self Healing

Self Protecting

Self Configuring

Self Optimizing

Self and Context Awareness Slide5

Platform Requirements

Network-wide Prospective

Applications Involvement

Cognitive Support

Sensory Support

Human Supervision

Information InteroperabilitySlide6

Problem Definition: Networks is increasingly getting very Complex

The Complexity of system design and management is daily on an increase

Stovepipe systems: best-of-breed functionality but very difficult to integrate so they share functionalities and resources

Increased technology can be overwhelming to users and administrators

Different devices have different programming models and interaction models

Different management tasks and integration types require different skill levels

The business complexity is equally on the increase

Human demands is of a pervasive nature

A lot of different businesses Lose Money if they can not react fast enough to this demands

Varieties of threats, problems, and non-optimized behavior keeps increasing

Behavioral complexity is also increasing

Everything is now interconnected, therefore requiring different policies, rules and functions

Too complex to predict, needs a high skill level, not enough human resource!Slide7

Definition and Goal of Autonomic Network Management

AUTONOMIC NETWORK MANAGEMENT

Simplify network management process by automating and distributing the decision making processes involved in optimizing network

operation.

Enable expensive human attention to focus more on business logic and less on low level device configuration

processes.

GOALS

Minimize Operator Intervention.

Reduce dependencies on Human Resources to the barest minimum.

Reduces

Errors.

Supports agile

businesses.

Keep up with the explosive growth of the

InternetSlide8

Autonomic Management ArchitectureSlide9

Focale Autonomic Management

Stands for

F

oundation

O

bservation

C

omparison

A

ction

L

earn r

E

ason

It is based on the observation that business objectives, customer requirements, and environmental context all change dynamically

Two control loop

Inner control-loops

They make more detailed adjustments of functionality within a specific context.

Outer control loops

They perform large-scale adjustments by reacting to context changes.

It is unreasonable to assume that a single entity can maintain all the information required to realize the FOCALE control loops for large scale networks containing large numbers of heterogeneous devices

FOCALE must be a distributed architecture, to the degree that even individual network devices may incorporate autonomic management software, implementing the maintenance and adjustment control loopsSlide10

Types of Inner and Outer Loops There are three major types of Inner and Outer Loops:

Reactive control loops

Deliberative control loops

Reflective control loops

Reactive Control Loops: This path is taken when adapting to a previously analyzed context change. Here, a previously inferred behavioral change can be executed without complex reasoning.

Deliberative Control Loops: This is used when context changes that are not properly understood take place.

Reflective Control Loops: This provides an avenue to better understand how context changes affect the goals of AEs.

It is also important to note that these types of loops are dependent on cognitive phycology and human decision making history.Slide11

Communication Types Between Autonomic Elements

Cluster Management:

A cluster can be defined as the group of Autonomic Elements that have the same parent Autonomic Element. It is of great importance that we determine which Autonomic Element in each cluster will play the role of the parent. Hence Cluster Management.

Context Dissemination:

Context dissemination is an integral part of any autonomic management system, ultimately used to model the static state of its managed entities,

which also then allows the system to reshape to changes whenever effected.

Policy Interaction:

Although administrators of an autonomic management systems are not directly involved in configuring management algorithms and managed entities, they do control the entire process by adding rules to the rules repository.

Autonomic Element Collaboration:

Previously, we talked about how the interchange of policies and context and the organization of Autonomic Elements themselves can be handled. Here we will be focusing on another very important communication area in a distributed management environment and this is the behavioral orchestration between Autonomic Elements.

Management Algorithm:

These management algorithms oversee configuration of the managed entities, to make sure their state in turn reflect a desired state of the system. Slide12

ConclusionIn this project, we briefly discussed the current state of Management evolution in Computer Networks, and some of the challenges with the rapid expansion of the internet resources. We discussed the solution based on an Autonomic Network Management Initiative and the subsequent works on creating Autonomic Network Management platforms that are similar to these ideas. An architecture is presented, which will provides a specific set of functionalities to facilitate the creation of management containers, which are similar to a high-level goal. Slide13

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 and 

Botvich

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Evry

Val

d’Essonne

Evry

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, France.Slide14

QUESTIONS ?