About Brain4Net, Inc. - July 2015

© 2015 Brain4Net, Inc. All rights reserved
Brain4Net.Smarter networks
SDN/NFV software solutions vendor for Service
Providers and Enterprise Networks
July 2015

© 2015 Brain4Net, Inc. All rights reserved 2
Who we are
About Brain4Net, Inc.
Brain4Net SDN/NFV software solution
helps Service Providers and large
Enterprises to adapt modern network
technologies such SDN and NFV with
existent network infrastructure.We
develop a platform that turns benefits
of SDN/NFV synergy and addresses
performance and availability
challenges that are the major stop
factors of slow SDN adoption
We build wide partner ecosystem to
provide complex solution for large
networks for Service Providers and
Enterprises

Management Team
3
Oleg Schapov
CEO
One of the most innovative
executives in IT industry in
Russia. The previous
company Oleg ran, CTI, was
ranked among “Technology
Fast 500 EMEA” by Deloitte.
More than 20 years
experience.
Max Kaminskiy
CTO
More than 17 years in IT
segment. Member of
European Cisco PTAB
committee. Certified Cisco
Business Value Practitioner.
Alex Rumyankov
CPO
More than 10 years
experience in software
development. Participated in
many innovative integration
projects for ISPs.
Sergey Romanov
Chief Architect
CCIE Certified. Veteran in
Telecom industry.
About Brain4Net, Inc.

Trends & Driving forces
4
60%
Annual video and traffic
growth
10х
Traffic growth 2015-2019
2GB/month
Smartphone traffic
450MB/month in 2012
11GB/month
Mobile PC traffic
2,5GB/month in 2012
60%
2019 LTE coverage of the
world’s population.
10% in 2012
85%
WCDMA/HSPA coverage of
the world’s population
55% in 2012
7 Billion
Mobile broadband
subscriptions. 1,7B in 2013
850 million
PC, Tablets and mobile
routers 300M in 2012
9,1 Billion
Mobile subscriptions
Internet Bandwidth growth
Mobile Traffic growth
50 Billion devices connected by
2020
Why SDN/NFV?

Target Markets
5
Large Enterprises
Telco
Mobile
network
operators
Service
Providers
$37B
by 2020
$4B now
$26B
by 2020
$4B now
$-
$20
$40
$60
$80
$100
$120
2015 2016 2017 2018 2019 2020
SDx Networking Spend Forecast by Customer Segment, $B
Cloud Enterprise Telco
Source: SDxCentral – SDN and NFV Market Size Report, 2015
Why SDN/NFV?

Portion of network purchases influenced by SDX Networking
* SDxCentral SDN and NFV Market Size Report, 2015
17%
28%
45%
57%
70%
80%
83%
72%
55%
43%
30%
20%
2015 2016 2017 2018 2019 2020
SDN
Why SDN/NFV?

SDN/NFV adoption –Facts & Challenges
7
Why SDN/NFV?
90% of Service Providers have
IP/MPLS Networks
And they will exist in the
coming years
There is no way to immediately
replace existent IP/MPLS
network with newer
technologies
Facts:
13%
13%
48%
52%
75%
0% 20% 40% 60% 80%
Layer 0 (DWDM/ROADM)
Layer 1 (Sonet/SDH, OTN)
Layer 2 (carrier Ethernet)
Layer 4-7 (application and content
delivery networks)
Layer 3 (IP/MPLS)
Network Layer Expected to Benefit the Most from SDN
Source: Global Information Research, Nov. 2014

SDN/NFV adoption –Facts & Challenges
8
Why SDN/NFV?
Challenges:
SDN integration within existent IP/MPLS networks
Earlier SDN assumptions had some misgivings about the technology (SDN concept authors
assuming that network was homogeneous. The difference between core and edge switches –the existence of MPLS,essentially
–wasn’t taken into account).
!
“This one is unforgivable.We just ignored current systems.One of the secrets,when you teach
networking,is that nobody covers MPLS.
Scott Shenker, One of the minds behind the creation of SDN
Centralized or distributed approach? Service Providers need to have an option to create solution logically
centralized but physically distributed
Incorporate the benefits of SDN and NFV

Brain4Net approach
9
The goal: Provide complete Network Management solution for heterogeneous networks based on
SDN/NFV concepts to Service Providers and distributed Enterprises
!
Capabilities:
• Integrate new technologies (SDN/NFV) within existent IP/MPLS Network;
• Provide logically centralized,but physically distributed approach to manage SP Aggregation
networks;
• Reduce CAPEX by using inexpensive OpenFlow-switches of costly MPLS routers;
• Move toward commoditized infrastructure
• Transit network from proprietary technologies to open standards and protocols
• Enable unified management of physical and virtual network infrastructure
Why SDN/NFV?

B4N Solution Architecture and Integration with external systems
B4N Controller B4N Orchestrator
NFV Instances 3rd party VNF
3rd party
Orchestrator
OSS/BSS
Traditional
Networks
EMS/NMS
OF Switches
Switch OS
REST
Netconf
Java
Web
CLI
SNMP
YANG
Model
Data Path Control Path-B4N Products
B4N Service Platform
Routing Protocols

B4N Controller
Core network service.Unified management of network elements and data traffic.
Topology Service
Topology control and monitoring
Commutator Service
Path calculation
Packet Processing plane
High performance OpenFlow packet
processing
Cluster Service
Reliable cluster management
NETCONF Server
NETCONF implementation for service
provisioning
Apps
P2P, P2M, IGMP, QoS, NAT, Static
Routing, etc.

B4N Orchestrator
B4N Orchestrator – Single point of system and service management
Front-End
For managing controllers and VNFs
Monitoring
System and service administration UI
Provisioning
Systems management
Convert policies based on high-level
abstraction to OF datapath instructions
Traffic steering among VNFs
according policies
Scale VNF instances based on
demand and traffic volume

NFV Farm
13
OpenStack as a Virtual Infrastructure Manager
(VIM).B4N Unified SDN Switching Fabric used
instead of OpenStack Neutron to address
performance challenges
B4N vSwitch with built-in DPI Engine for traffic
classification
B4N VNF Manager for service abstraction and VNF
onboarding (own or 3rd party) and management
B4N Orchestrator (E2E Service Manager) for Service
Chaining and Management
NFV Apps
ComputeNode
ComputeNode
ComputeNode
ComputeNode
ComputeNode
ComputeNode
NFV Farm
vSwitch Farm
B4N VNF Managers
E2E Service Manager

B4N Switch OS
An OpenFlow agent built on top of debian /
ubuntu distrib accelerated by merchant’s SDK
Flow Cache in RAM
Offload OF rules to RAM to save
flow request time for switches
with small TCAM tables
CPU Operations
In case of lack methods in ASICs,
required operations will be
performed on CPU
Dependency Management
Own repository additional to
standard debian / ubuntu
DataPlane SDK
Build your own OF 1.3 switch
without sharing your acceleration
code with us
SDK
ONIE
Works in standard ONIE builds for
bare-bone switches
Multi-vendor Support
Works with Intel & Broadcom
created ASICs*
!
B4N SW OS has 70% higher
performance than Open vSwitch
Can be integrated with any
OpenFlow switches

B4N Service Platform.Software architecture benefits
1515
Virtualization
Fully virtualized components. Program code is
executed inside the VM
1
Docker Paravirtualization
Service isolation with all standard
virtualization features with near-to-native
performance.
2
Creating New Modules
Simple create new modules by export
dependencies (core, topology, etc.)
3
Carrier Grade Performance
Controller Performance tests: 1М fps, 50ms
latency per packet (1xXeon 2650 v3, 8 vCPU,
16GB RAM, 32 switches, L2 Mac Learning test).
This results are best-in-class compared with
other controllers on Java, Ruby, Python
5
High Availability
Controller core provides HA by using master-
slave mechanisms from OpenFlow 1.3
6
Customized builds
New software build can be created by building
new delivery file.The result – new SDN
Controller with all the necessary features
7No MAC Learning*
Due to statically provisioned flow rules.
*Not for all types of tunnels
4

Thanks!
need@brain4net.com
+1.617. 6394001
www.brain4net.com
Contacts:

About Brain4Net, Inc. - July 2015

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