NM Interoperability Technical Exchange

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NM Interoperability
Technical Exchange
Session 3: Emerging Technologies
Dr. Stephen Bush, GE Research
Mr. Morris Hornik, DoD CIO
Topics of Interest
O SDN and applications
O Cloud
O Networks
O Tactical/waveforms
O Security
O Emerging Technologies
O Architectures need to account for emerging
technologies, and should be the baseline for
how things are engineered, deployed,
maintained and managed.
O SDN Architectures
O Supply-Chain counter-fitting – HW and SW
lineage
O Commercial vs DoD
O Financial industry has tighter security
relationships/architectures to protect financial
networks
O SDN can establish coalition networks
O Better provisioning
O DRS built software routers, used in Blue-Force tracking
network
O SDN in tactical
Benefits – dumb, small devices: size, weight and power
Disadvantages – vulnerability, management complexity
Challenges – do we know if the network is doing what it is
supposed to be doing?
O Diversity and redundancy – how critical is it in the tactical –
increases footprint, power, vulnerability (space shuttle example of
5 identical processors)
O
O
O
O Opinion – SDN is premature
O Recommend early investigation, testing to understand how SDN is
applied, verified and secured
O Good about SDN
O Evolution on how networking and NM is done
O Retooling of staff
O Size, weight and power
O May need new tools/languages to enable
humans effectively manage
O Understanding Risk
O Defining Cost
O Cognitive Radios
O Is SDN an enabler of cognitive networking?
O Evolved Packet Core
O Standards and enforcement of standards
O Trusted Platform Spec
O Reference Implementation
O Helps with interpretations of specifications
O Need to make specs
O How many times has a packet been access/encrypted?
A ‘smart’ packet with code running may capture
access/modification info.
O SDN and MANET
O Content-Aware routing
O MPLS and SDN?
O SDN is not able to control network interface?
O SDN may not scale?
O Networked Soldier
O
O
O
O
O
Avoid information overload
Automated decision making for data flow
Attractive target
‘big data’ problem
QOS and QOE are important
O How smart should the network be to keep things
simple for the networked soldier
O Company called Embrane
O Evolution of SDN, new capabilities
O Policy based management
O SDN and other IT Drivers
O Analytics and Business Intelligence
O Big Data
O Driven by need to rationalize IT costs, handling
massive data volumes, mobile operations
O Volumes of data /Cloud/Data Processing & Filtering/ Data
Shaping are now needed for DoD – 100G transport
O
Patterns (data that is compressible also lends to better analysis)
O Agile, localized standards (vice enterprise-wide standards) may
be more effective and timely
O
O
O
O
O
Is this risky?
Customers willing to give data?
Interactions/interfaces can evolve (instead of designing/specifying it
completely upfront)
Smarts centralized initially, but pushed out (decentralized) over time
Instead of grand network solution that does everything, let the
components do what they need to do, their way; but a centralized
solution that pulls it all together to work with independent
components
O Decentralized mgmt pitfalls
O Too many data interfaces/relationships to manage
O Trouble-shooting is not trivial
O Knowing your network and knowing what ‘normal’ is
O Deception Techniques that will make our networks
safer
O What can we do to make enemies see our network
differently than what it is+
O What is the value of doing this?
O CS and Neuroscience – biological system is
compromised – risk management is more crucial
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