A Network Management Framework for Emerging Telecommunications Network.

Symposium on

Modeling and Simulation Tools for

Emerging Telecommunication Networks:

Needs,

Trends,

Challenges, Solutions

Munich, Germany, Sept. 8 – 9, 2005

A Network Management Framework

for

Emerging Telecommunications Network

Augustine Samba, Ph.D

Department of Computer Science, Kent State University Kent, OH 44242

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A New Paradigm

In Network Management

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OUTLINE

• Background & Significance of Technology

– Next Generation Multi-Media Services – Goals

– Emerging Telecommunications Network Model (Needs)

• Current Network Management Framework

– TNM, SNMP Challenges

• Framework for Emerging Telecommunications Network

(Solution Approach)

– NM Service Creation & Control

– Integrated Network Management System – Autonomous Sensor Entities

• Management Scenarios

– Fault Tolerance – Configuration – Accounting – Provisioning – Security

• Summary

Challenges of Conventional Core Switch/Routers

Background

• High and unpredictable latency

– Thus unable to support real-time multimedia traffic

(voice/video)

• Small switching capacity

– 20 to 60 Gbps

• Line interfaces not commensurate with optics,

resulting in additional layers

– Up to OC-48/STM-16 only

• No integration with DWDM optics

• Lack multi-service capability at high speeds

DWDM/Optical (Core) INTERNET Dark Fiber Access Mobile/Fixed Wireless Access Optical Ethernet Access Access Networks Core Network

ƒNeed a new paradigm to manage and control network model

Emerging Telecommunications Network Model

Video node Voice Data Node Streaming Video Data node Streaming Video Node Voice Video Data node DATA CENTER Multimedia Real-time Traffic

SNMP & TNM

− Centralized Network Management Framework

Challenges

• Assumes static managed object

• Centralized

• Concerned primarily with

monitoring aspects

• Control is limited to

set

request

command

• No real-time control capabilities

• Record Keeping is manual and

non-integrated

Need a Paradigm Shift

Video node Voice Data Node Streaming Video Data node Streaming Video Node Voice Video Data node

DWDM/Optical (Core) INTERNET

Multimedia Real-time Traffic Mobile/Fixed Wireless Optical Ethernet

INMS

- Embedded Sensors: Autonomous Sensor Entity (ASE)

- Autonomous Sensor Network (ASN)

Real-time Network Management framework

SERVICE CUSTOMIZATION ASE NETWORK MANAGEMENT CONTROLS ASE NETWORK TOPOLOGY FCAPS SERVICE ELEMENTS LIBRARY ALGORITHMS ASE LOGICAL MAPPING VISUAL INTERFACE FSM FCAPS DG NM CONTROL DG ASE PROVISIONING ASE TOPOLOGY VIEW MGT. ASE AUDIT / QUERY NETWORK INTERFACE SERVICE ELEMENT CONTROL MGT MESSAGE TRANSPORT NETWORK INTERFACE DEVICE API

Network Management Software Framework

DEFNS OF DEVICE

ATTRIBUTES

Goals: (1) Autonomous monitoring and control of heterogeneous NEs

(2) Real-time provisioning for rapid deployment of heterogeneous NM functions (3) Real-time end-to-end network management and control of heterogeneous NEs (4) Integrated view of Network Management

Service Creation Autonomous

Sensor Entity

- Represent the OSI network management reference model (FCAPS) as service applications

− Develop Service Element Template per Device type and its local network environment − Service Element Template installed on INMS

− INMS customizes Service Element template based on individual ASE’s requirements

ƒ Traffic type, Access node, Core node, Access routers, Core Network routers −INMS provisions customized service element on appropriate ASE

Network Management Service Creation

Behavior:

(FSM)

Attributes

State #1 State #2 State #k

Control (DG) Fault Mgt Configuration Mgt Accounting Mgt Perf. Mgt Security Mgt

−

Specifies ASE Attribute fields

Network Management Service Creation

• Node Identifier

• Node Type (Access, Core, A/C Multiplexer)

• Edge Node List

• Edge Link Type (Optical, Dark Fiber..

• Reach Label (Peer-to-peer communication)

• Survivability (Protected/Unprotected)

Integrated Network Management System

• Customize FCAP Service Templates • Customize NM Control Templates

• Maintain Golden Copy of ASE Network Topology

- Partition Topology into logical network clusters

• Provisions Service Elements and Control on appropriate ASE

SERVICE CUSTOMIZATION ASE NETWORK MANAGEMENT CONTROLS ASE NETWORK TOPOLOGY FCAPS SERVICE ELEMENTS LIBRARY ALGORITHMS ASE LOGICAL MAPPING VISUAL INTERFACE ASE PROVISIONING ASE TOPOLOGY VIEW MGT. ASE AUDIT / QUERY NETWORK INTERFACE Service Creation Autonomous Sensor Entity

INTEGRATED NETWORK MANAGEMENT SYSTEM

Integrated Network Management System

- INMS partitions Core into logical Clusters

- INMS Creates logical graph representation of cluster

Nodes, Edges Types

− INMS models ASE #8 as Supervisory ASE for ASEs in Core Network Cluster “A”

2 4 6 8 5 1 3

A

Optical Ethernet Access 2 3 4 ₅ 1 Optical Ethernet Access 2 3 4 ₅ 1

Integrated Network Management System

- INMS partitions Optical Ethernet Access Network into logical Cluster - INMS Creates logical graph representation of Access cluster

Nodes, Edges Types

− INMS models ASE #1 as Supervisory ASE for ASEs in the Access Network Cluster

Graph representation

INMS Provisions Autonomous Sensor Entities

− Dynamically incorporates Service Elements and Control into ASE application

− INMS configures ASE #8 as SASE for ASEs in core Network Cluster A

− INMS configures ASE #1 as SASE for ASEs in Optical Ethernet Access Network

Integrated Network Management System

Optical Ethernet Access 2 3 4 ₅ 1

INMS

Autonomous Sensor Entity (ASE)

• ASE is autonomous ~ behavior based

on its state and local surroundings

• ASEs communicate with each other

• Control management implements and

removes NM controls

• Device API provides abstraction of

hardware resources for measuring

FCAPS metrics

• The Supervisory ASE (SASE)

communicates with

– ASEs within the network cluster

– INMS & SAES in neighboring clusters

• ASEs within a cluster may be

unreachable, hence SASE is the conduit to the outside world

• Minimum Network overload traffic for Fault Management SERVICE ELEMENT CONTROL MGT MESSAGE TRANSPORT NETWORK INTERFACE DEVICE API

Autonomous Sensor Network (ASN)

Autonomous Sensor Entity (ASE)

• ASN carries management information

between ASEs

• ASN is a packet Network

• ASN does not transport revenue generating

traffic

• Portions of ASN traffic carried by DWDM

core and Access networks

High-Performance Off-Line

Analysis by Modeling and Simulation of Core Network cluster

ASE #8 performs Real-Time Network Management Analysis & Control of Cluster A

NM Controls S/Autonomous Sensor Entity

INMS

OSS

Real-Time Network Management & Control

INMS receives NM updates from SASE #8

INMS notifies OSS to perform Detailed NM Analysis of the Access and Core Cluster

A

Detailed NM Analysis

& Results

High-Performance Off-Line

Analysis by Modeling and Simulation of Optical Ethernet Access Network

ASE #1 performs Real-Time Network Management Analysis & Control of Cluster

INMS

OSS

Real-Time Network Management & Control

INMS receives NM updates from SASE #1 INMS notifies OSS to perform Detailed NM Analysis of the Access and Core Cluster

Detailed NM Analysis

& Results

Integrated View of Real-Time Network Management

− INMS receives NM updates from SASE #1 & SASE #8

− INMS notifies OSS to perform Detailed NM Analysis of the Access and Core Cluster

High-Performance Off-Line Analysis by Modeling and Simulation Of Integrated Optical Ethernet Access Network

& DWDM core Network

INMS

OSS

Fault Management

• Cause

– Unprotected Node or Link Fails

• Data link layer :

• Excessive collisions, Misaligned frames

• Diff between FCS numbers of PDUs sent/received

• Solution Approach

– ASE forces re-transmission of appropriate frames

– INMS updates its graph representation of ASE topology

based on failure removal or addition of a node

• Adjust tunable parameters of Access and

Core nodes

• Employ network engineering rules, admin

policies

Performance Management

• Example

– Traffic Analysis and Control

– QoS Assessment

• Solution Approach

– ASE Detects, counts and reports dominant parameters

at bit level

Performance Management

Sample Performance Parameters

Total data sent/received, number PDUs sent/received, number of connection established/rejected, …

Transport layer

Number of data units

sent/received, bytes sent/received

Network layer

Frames transmitted, number of collisions, number of FCS errors, number of frame alignment errors ..

Summary

Real-time NM based on shared intelligence of three

independent systems SCS, INMS, ASE

The INMS dynamically incorporates additional behavior into an

executing ASE application

The ASE application dynamically steers the measurement

process

The SCS transforms FCAPS functions to Service Applications

model

Decentralized NM framework provides integrated view of

access and core networks