Overture End-to-end Service Intelligence for NFV

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1 1 10/17/2014 OVERTURENETWORKS.COM End to End Service Intelligence for NFV: Leveraging Insights from the Physical & Virtual SDN & OpenFlow World Congress October 17, 2014

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In this presentation given at the SDN & OpenFlow World Congress in Dusseldorf in Fall 2014, Overture discusses the requirements to achieve end-to-end Service Intelligence and realize actionable intelligence for SDN/NFV enabled services in a complex, virtual world.

Transcript of Overture End-to-end Service Intelligence for NFV

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End to End Service Intelligence for NFV: Leveraging Insights from the Physical & Virtual

SDN & OpenFlow World CongressOctober 17, 2014

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End-to-End Service Intelligence is Needed …

Collecting data from devices is not enough

We must create actionable intelligence about the end user service – but how?

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Limits to Today’s Tools• Requires pre-defined data formats and relationships

(schema) -> Complicated• Proprietary -> Closed• Pre-defined Correlation -> Inflexible

Result: Slow and Limited

But it is worsethan that because

things have become more complicated!

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What Has Changed? SDN!

Increased Dynamics

Improved Control

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What Has Changed? Virtualization!

Remember this Major Transformation?

We are now replacing Appliances with Virtual Network

Functions (VNFs)

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Operators Plan to Deploy Virtual Services• Using SDN for dynamic control • Using NFV for CapEx and OpEx reduction• Using both for service innovation

That’s a lot of new stuff.

A lot of moving parts.

Are we crazy?

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First Problem – Data Explosion

• Collection – from numerous disparate sources• Volume – more sources, and

data moved from network elements to big data servers• Analysis and Intelligence –

correlations, trends, root cause analysis• Application – optimization,

pricing, diagnostics

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Next Issue – Dynamic AssignmentSDN and virtualization enables dynamic assignment of resources, which adds complexity to monitoring those resources. Examples:

Policy-based resourcesMapping of virtual functions to physical devices

Virtual/overlay networksShared hardware

On-demand services

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Challenge - Virtualized Services Vary Over Time

Create Service

IMS Homer

IMS SproutIMS

Switch

IMS Sprout

How do you associate the service with the VNF and its server – at any given time?

Scale Up

Fault recovery /Resource migration

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Hurdle – Data and Correlation Change

Change is a constant• Data sources • Data formats and values• Types of correlation

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Barrier - Services Spread Across Silos

Old separations can no longer apply!

Acce

ss

Tran

spor

t

IT

Ope

ratio

ns

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What is Needed? Dynamic Data Gathering• An efficient way to

gather data

• From numerous physical and virtual resources

• Using push and/or pull

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What is Needed? Big Storage

Ability to feed multiple data streams into a sharedsource-independent, common-format storage

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What is Needed? Definable CorrelationAbility to define arbitrary, cross-source correlations between data sources using rules:

• Historical

• Geographical

• Event-based

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What is Needed? Powerful, Simple Query• Efficiently answer

arbitrary questions

• Using arbitrary queries

• Through a simple and open API

• Without a pre-defined schema

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My View of a Workable Architecture

Host

API

VNF

PhysicalNetwork Function

VNF

VNF

VNFVNFVM

VNF Host

API API API

Service Order

Runtime Correlation

VNFM / EMS OpenStack OSS/BSSVNFO

Big Data Storage

NFV Service Dashboard

NFV Auto-Scale

NFV Fault Management

Applications

ServicePerformance

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Benefits of this ApproachProvides actionable intelligence for SDN/NFV enabled services in a complex, virtual world!

Examples of enabled applications:• Fault and Performance Management• Root Cause Analysis • Inventory Management• Service Consumption and

Capacity Planning• … and many others!

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Thank You!Prayson Pate - [email protected]