communication networks reloaded
TRANSCRIPT
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Communication Networks Reloaded
Related session: “Lean NFV Ops”
Jose de Francisco, Cloud Innovation Center
10:00 am – McCormick Ballroom
IIT Real Time Comms Conference – Chicago, October 6
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Lean NFV ops
Lean NFV ops
efficient
Service Level Agreement
Lowest cost perworkload
bit
high utilization levels
high availabilityeffective
“effective and highly efficient service delivery at any scale”
FMOPMO
crossing the chasm
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COPYRIGHT © 2015 ALCATEL-LUCENT. ALL RIGHTS RESERVED.
COPYRIGHT © 2015 ALCATEL-LUCENT. ALL RIGHTS RESERVED.
COPYRIGHT © 2015 ALCATEL-LUCENT. ALL RIGHTS RESERVED.
COPYRIGHT © 2015 ALCATEL-LUCENT. ALL RIGHTS RESERVED.
COPYRIGHT © 2015 ALCATEL-LUCENT. ALL RIGHTS RESERVED.
COPYRIGHT © 2015 ALCATEL-LUCENT. ALL RIGHTS RESERVED.
COPYRIGHT © 2015 ALCATEL-LUCENT. ALL RIGHTS RESERVED.
COPYRIGHT © 2015 ALCATEL-LUCENT. ALL RIGHTS RESERVED.
COPYRIGHT © 2015 ALCATEL-LUCENT. ALL RIGHTS RESERVED.
COPYRIGHT © 2015 ALCATEL-LUCENT. ALL RIGHTS RESERVED.
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NFV Experience Program: Live Demos & Workshops
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Lean NFV Ops
Related session: “Communication Networks Reloaded”
Jose de Francisco, Cloud Innovation Center
2:00 pm - McCormick Ballroom
IIT Real Time Comms Conference – Chicago, October 6
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COPYRIGHT © 2015 ALCATEL-LUCENT. ALL RIGHTS RESERVED.
Agenda
1. NFV deployment strategies
2. Present Mode of Operations
3. Network softwarization
4. The journey
5. Virtualization of mobile core and IMS (ETSI NFV use case #5)
6. Service function chaining
7. Reliability, availability and serviceability
8. DevOps: Development and operations
9. Standards
10. Early challenges
11. Future Mode of Operations
12. Closing comments
“If you can’t explain it simply,
you don’t understand it
well enough.”
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The information presented is subject to change without notice.
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contained herein.
This slide must be kept when distributed externally.
Albert Einstein
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“The evolution of useful things”
Henry Petroski is an engineer
specializing in failure analysis and
professor both of civil engineering
and history at Duke University.
The Evolution of Useful Things
Published in 1992
Vintage Books, Random House, New York
ISBN 978-0-385-36489-8
“The form of made things is always subject to change in response to their real or perceived shortcomings,
their failures to function properly (…) there can be no such thing as ‘perfected’ artifact”
“There is an ongoing evolution of new needs created by the developers of new designs (…) that require
new tools for assembly and disassembly, and these new tools in turn enable still further new designs”
“Ill served by an advisor who looks too narrowly at technical indicators to prognosticate performance
in the marketplace”
“Focusing too closely on the immediate design problem (…) frequently results in solutions that
themselves give rise to more difficult design problems”
“Every technological change has the potential for being both cursed and praised”
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NFV deployment strategies
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Present Mode of Operations (PMO) challenges
• High lead times for new system and/or service introduction
estimated in months and years where technology silos prevail
• Complex overall Method of Procedure given hardware
specifics and planning processes challenging end-to-end
operations
• Low server to administrator ratio in environments comprised
of largely physical elements, tightly integrated software and
hardware under multiple management systems
• High human latency due to number of manual deployment,
maintenance and upgrade process, communications, forms,
also impacted by network and IT disconnects
LT: Lead Time
MOP: Method of Procedure
S/A: Server to Administrator Ratio
HL: Human Latency
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Present Mode of Operations (PMO) challenges
Feedback loop
CoD: Capacity on Demand
TTM: Time to Market
QoE: Quality of Experience
LT: Lead Time
MOP: Method of Procedure
S/A: Server to Administrator Ratio
HL: Human Latency
Leading Lagging indicators
High human latency due to number of manual
deployment, maintenance and upgrade process,
communications, forms, also impacted by network
and IT disconnects
Cause Effect correlation
Compromised time to market, lengthy ordering to
activation process, difficult to measure end users’ QoE
Overlong capacity planning does not favor agile
reconfiguration of services and components to
meet demand curves
Costly environment which cannot dynamically apply
big data subjected to real-time changes; underutilized
assets and budgets consumed by maintenance
Taxing end-to-end management under separate
fulfilment and assurance for core, access, IMs, with
service upgrades often susceptible to failures
High lead times for new system and/or service
introduction estimated in months and years
where technology silos prevail
Complex overall Method of Procedure given
hardware specifics and planning processes.
Challenging end-to-end operations
Low server to administrator ratio in
environments comprised of largely physical
elements, tightly integrated software and
hardware under multiple management systems
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Is “Network softwarization” the answer?Translating IT virtualization concept to Telecom
• Network Functions Virtualization (NFV):
- software (SW) is decoupled from hardware (HW)
- telecom systems (IMS, EPC, RAN) become software instances
- virtual network functions (VNF) run on virtual machines (VM)
- VNFs are decomposed and modularized suited for N+K redundancy
- shared infrastructure based on general purpose, high volume COTS HW
- enables application multi-tenancy and distributed architectures
- automation optimizes lifecycle management and resource orchestration
• Software Defined Networking (SDN):
- control (traffic decisions) decoupled from data plane (traffic forwarding)
- programmable and automated networking
- centralized global network view and intelligence
- controller sends packet handling rules to the switch
“I do not paint a portrait to look like
the subject…
rather does the person grow to
look like his portrait.”
Salvador Dalí
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ETSI NFV reference architecture
• NFV management and orchestration
• NFV Orchestrator (NFVO)- Multi-VIM management
- VNF placement
- VNF policy enforcement
• VNF Manager (VNFM)- VNF deployment
- VM level monitoring (CPU/storage)
• Virtual Infrastructure Manager (VIM)- Virtual resource management at hypervisor level
http://www.etsi.org/technologies-clusters/technologies/nfv https://portal.etsi.org/NFV/NFV_White_Paper2.pdf
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The journey: Early virtualization – PMO
• Apps run on VMs
• Multiple applications run on generic hardware
• Apps in the component form consuming one or more VMs
• Apps can scale by adding more VMs
• Various component level scaling is possible
• Purpose built HW/ASICs
• Tight coupling between HW and SW
• Monolithic apps with specific HW configurations
• Scales by adding more HW
• Rigid service creation
• 1-to-1 app to purpose built HW ratio
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The journey: FMO
IaaS – Infrastructure as a Service
Common infrastructure management
Resource orchestration
Application multi-tenancy
PaaS – Platform as a Service
Solution templates
Key performance indicators
Selective lifecycle automation
Distributed architectures
Service level orchestration
Fulfilment and assurance
Predictive analytics
End-to-end automation
Autonomics, self-organizing
Single pane of glass
Lifecycle management
Resource orchestration
Analytics
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ETSI NFV use case #5: vEPC and vIMS
• “Mobile networks are populated with a large variety of proprietary hardware appliances
[…] leverage standard IT virtualization technologies to consolidate different types of
network equipment located in NFVI-PoPs.”
• “Flexible allocation of Network Functions on such hardware resource pool could highly
improve network usage efficiently in day-to-day network operation.”
• “Higher service availability and resiliency provided to end users/customers by dynamic
network reconfiguration.”
• “Elasticity: capacity dedicated to each Network Function can be dynamically modified
according to actual load on the network, thus increasing scalability.”
• “Topology reconfiguration: Network topology can be dynamically reconfigured to optimize
performances.”
• “Creation of a competitive environment where innovative implementations of third-party
network applications can be supplied by unlocking the proprietary boundaries of current
Mobile Core and IMS implementations.”
• “Designing newer resiliency schemes becomes possible by utilizing the portability of the
VNF instances in the form of, but not limited to VM relocation, replication, etc […] the
relocation of the managed sessions and/or connections needs to be handled appropriately
to achieve operator desired service continuity and service availability.”
• “Coexistence of virtualized and non-virtualized network functions.”
http://www.etsi.org/deliver/etsi_gs/NFV/001_099/001/01.01.01_60/gs_NFV001v010101p.pdf
Mobile core network functions:
– EPC core and adjunct network functions, e.g. MME,
S/P-GW, PCRF, etc.
– 3G/EPC interworking network functions, e.g. SGSN, GGSN, etc.
• All IMS network functions, e.g. P/S/I=CSCF, MGCF, AS.
Virtualization target:
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Use Case #5: Lean NFV ops demo
Dynamic lifecycle use cases:
• Agile service selection and deployment
• SFC: Service Function Chaining
• Capacity: Growth/degrowth with analytics
• RAS: Reliability, Availability, Serviceability
• Service continuity in HA: High Availability
• RCA: Root Cause Analysis
• Smart placement (Bell Labs simulation)
http://www.telecomtv.com/articles/poc-zone/proof-of-concept-lean-nfv-operations-12422/
Demo environment:
• End-to-end 100% virtualized VoLTE
• Solutions:
• VNFs: VRAN, VEPC, VIMs
• OSS: Motive dynamic operations
• SDN: Nuage Networks
• MANO: CloudBand management system
• VIM: OpenStack
• NFVI: CloudBand cloud nodes
• Ecosystem: Intel, WebRTC, RealSense/Personify
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Service Function Chaining (SFC) demo
SFC leverages NFV and SDN
• Service function is decoupled from network
topology, physical network is not required
to be modified
• Users contract different services comprised
of several applications
• Application sets are dynamically “stitched”
in real time
Lean NFV Ops demo screenshot
Operational flexibility:
• Application-driven provisioning
• Intelligent traffic steering, capacity adjusted based on utilization
• Common deployment of service functions
• Usage across multiple domains
• SSO: Self-service operations
• Enables sharing information between
service functions
• Simplify access to virtualized apps
• Upsell/cross-sell services
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Reliability, Availability, Serviceability (RAS) demo
Lean NFV Ops demo screenshot
• Service assurance encompasses cloud,
network, application analytics and
compliance
• Advanced correlation relies on predictive
analytics and unified event management
• Automation involves root cause analysis
and resolution
Addressing RAS:
• Dynamic CoD (Capacity on Demand)
• Automated recovery and service continuity
• Sustaining HA (High Availability) environment
• Distributed system, N+K redundancy, active standby failover
• Smart placement for VM relocation, replication
• Delivering fine grained and correlated analytics
• Autonomation provides controls and
override, involves operations team
and enables immediate attention
• A recommendations engine presents
alternative solutions starting with
the most optimal
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Continuous integration (DevOps)
Issue tracking
Version control
Continuous integration
Build
Hooks and triggers
Install
Deliver/publish
Integration test
Code review
Automation
Venn Diagram -https://en.wikipedia.org/wiki/DevOps#/media/File:Devops.svg
Automation
PMO FMO
Software + hardware delivery Focus on software delivery
Dedicated hardware (appliance model) Virtualized and cloud infrastructure
Long lead times Short, iterative cycles, one step release
Fixed release schedule Flexible, frequent delivery
Waterfall development model Agile software development
Manual processes
Single source repository
One click - highly automated build
Self-testing, bullet proof installation
Automated version control, notifications
Undetected issues can snowball Early issue detection
Back-end loaded process Iterative process
Compartmental handoverCross-functional process and workstyle
Collaborative delivery
Risk averse Entrepreneurial
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Standardization
Interfaces between physical and virtual resources in the
context of wireless applications and the mobile core
Zero Touch Orchestration, Operations and Management
for NFV-O and SDN; defines interfaces between OSS and
orchestration, interest in VNF descriptor alignment
Involves network service orchestration and service
function chaining
Research agenda
OpenStack (VIM), Mistral (workflow), HOT (orchestration
template) and Tacker, which uses Oasis’ TOSCA
NFVI layer (cloud nodes)
“In November 2012 seven of the world’s
leading telecoms network operators
selected ETSI to be the home of the
Industry Specification Group for NFV”
“NFV does not intent to build standards on its own, but to provide input and requirements to standard bodies”
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Ecosystem and technology readiness
The journey can plot different paths based on readiness, adoption
levels and matchmaking choices
launch, live ops, LCM
validation in relevant environment
agile development
use case - proof of concept projects
basic technology research
Readiness level provides understanding on maturity
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Early industry challenges
1. Shifting from PoC focus to successfully crossing “the ops’ chasm”
2. Separating hype and vaporware from what actually works today
3. Assessing maturity and technology readiness levels (the journey)
4. Sprawling virtualization silos and conflicting management systems
5. Bloated architectures shortchanging operations, scalability or performance
6. Working with physical and virtual elements in hybrid environments
7. Industry standards and fragmentation
8. Diverging from cloud fundamentals that we fell in love with
9. Legacy technologies’ last gasp
10. End-to-end (eco)systems engineering and open source
11. Business transformation and organizational dynamics
The Wizard of Oz
“Toto, I’ve a feeling we’re
not in Kansas anymore”
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Lean NFV ops
Lean NFV ops
efficient
Service Level Agreement
Lowest cost perworkload
bit
high utilization levels
high availabilityeffective
“effective and highly efficient service delivery at any scale”
FMOPMO
crossing the chasm
36
COPYRIGHT © 2015 ALCATEL-LUCENT. ALL RIGHTS RESERVED.
Future Mode of Operations (FMO)
1. Shorter LT: agile delivery throughout service lifecycle:
- streamlining: end-to-end value stream mapping of the service
- service lifecycle orchestration (automation)
- user friendly self-service and customization from ordering to activation
- continuous integration (DevOps)
- leveraging ecosystem and open source (e.g. OpenStack)
2. Streamlined Ops: deconstructing and modularizing:
- decoupling software from dedicated hardware
- working with virtual machines
- lifecycle orchestration templates, policies
- asset pooling and on-demand (JIT) resource allocation
- application modeling (information, data models)
- smart load placement
- addressing service continuity and RAS by operating in HA
- furthering service decomposition and N+K, active standby failover
- analytics: monitoring, alarm correlation, data driven ops, root cause analysis
- predictive analytics, autonomics (machine learning, full scale automation) leading
to self-organizing systems
JIT: Just in Time
N+K: Redundancy model
Ops: Operations
RAS: Reliability, Availability,
Serviceability
RCA: Root Cause Analysis
LT: Lead Time
MOP: Method of Procedure
S/A: Server to Administrator Ratio
HL: Human Latency
DevOps: Development and Operations
HA: High Availability
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Future Mode of Operations (FMO)
3. Higher S/A ratio: Harmonizing management systems
- COTS-based hardware consolidation
- centralized management of virtual and distributed environments
- end-to-end visibility: Abstractions, single pane of glass
- autonomation (automation with controls)
4. Lower HL:
- cross-functional behaviors: Organizational culture, workstyle
- agile project management, continuous improvement
- clear roles and responsibilities
- context enabled adaptive processes
- training and professional development
LT: Lead Time
MOP: Method of Procedure
S/A: Server to Administrator Ratio
HL: Human Latency
COTS: Commercial off the Shelf
E2E: End-to-end
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Lean NFV Ops’ performance golden spiral…
modularized, distributed
architecture
open, extensible systems
continuous lifecycle management & integration
leverage platforms
optimize control plane
data plane acceleration
service chain &
forwarding graph
optimization
efficient workload placement
1
2
3
4
5
6
7
8
scale up/down, out/in
(capacity on demand)9
end-to-end service orchestration
programmability
& automation 10
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Deconstructing Lean x NFV x Ops
Lean column adapted from Kim B. Clark and Takahiro Fujimoto, Product Development Performance
p. 172 and Mary and Tom Poppndieck, Implementing Lean Software Development p. 14.
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Closing thoughts and Q&A
Present Mode of Operations (PMO):
• Widespread industry concerns about the risks and cost of ever
growing complexity
• Overly lengthy lead times compound the problem in today’s
changing environment
• Hybrid physical and virtual environments are expected to co-exist
in the short and mid terms
Future Mode of Operations (FMO):
• Making “network softwarization” and “dynamic services” happen
dominates work on next-generation systems
• Service level orchestration becomes an operational objective
• NFV and SDN involve emerging technologies and IT practices that are set
to disrupt the telecommunications industry
• “Cloud” presents new challenges for network operators, some already
addressed by fast evolving “cloud solutions”
• Technical prowess alone is not enough as organizational and business
models are morphing
• Starting and staying “lean” at any scale throughout NFV’s journey is of
the essence
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2 page paper 10+ minute video 60 minute webinar
https://www.youtube.com/watch?v=bgcNRBl0nVQhttp://webform.alcatel-
lucent.com/r/?id=hf5e0c8,283d39b2,
283d3e81&SP_MID=675101106&SP_RID
=38172785
Thanks!https://www.alcatel-lucent.com/solutions/cloud@Alcatel_Lucent @ALU_Cloud
https://www.brighttalk.com/webcast/6985/172207
Lean NFV Ops: Additional materials
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