The Impact of IoT on Data Centers
Transcript of The Impact of IoT on Data Centers
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EIT 4.1Thinking Different: Data Centers and IoTChris Crosby, CEO, Compass Datacenters
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Data Center World – Certified Vendor Neutral
Each presenter is required to certify that their presentation will be vendor-neutral.
As an attendee you have a right to enforce this policy of having no sales pitch within a session by alerting the speaker if you feel the session is not being presented in a vendor neutral fashion. If the issue continues to be a problem, please alert Data Center World staff after the session is complete.
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Accelerated Evolution• Rapid period of change• Old rules no longer apply• Structure• Roles• Decision making
• Data center role shift• All-in-one versus matching need• Avoid load group mis-match
• Scale matters
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Driving the Change• Convergence of data types• Large rich packets (video)• Billions of small packets (IOT)
• Value of data• Inverse relationship with latency
• End user requirements/expectations• Data must be as close to end user as
possible – generational shift
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Not Ready for Primetime, Part 1• The mega data center can’t do it all
• Geography• Can’t get close enough to the customer• Latency becomes a serious issue
• Applications processing capability• We used to call billions of tiny packets DOS
• Now it’s business as usual• “Intelligence” isn’t distributed
• Network• Fat pipes are no longer enough• Latency matters
• Hetero v. Homogeneous• The big guys build for single apps• Too expensive/inefficient for most enterprises
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Not Ready for Primetime, Part 2• Existing “network” structures
• Single data center• 2-level (maybe)
• Centralized with DR with usually some synchronous requirements• Centralized w/big pipe to regional• Regulatory environments pushing for more
• Not optimized for “next generation” requirements• Difficult to hold “localized” content• Design didn’t anticipate volume
• Ability to process volume in real time• Even if it isn’t your app set, it will affect the
public network
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The Stratified Structure• Hierarchical structure
• 3 levels• Data center(s) at each level have specific function
• Based on division of labor • Improve processing capability
• Distributed throughout the structure• Better support for converged architecture
• Mission critical at all levels• Why?• $10M - $20M investment in just a few
racks of gear• Even the “cloud” has 10-20 racks that run
all the commodity infrastructure
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Cost of Redundancy Versus Software• Mission critical at the edge• Cost to put into the software versus the cost to
put it into the hardware• Just like in your car, what you can afford today
is different than 5 years ago
Data CenterSoftware
Time
Cost
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RolesCentralized hubs
Primary applications processing/storage pointsApplications are “non-divisible”
Edge data centersRegional centersSupport one or more micro DC’sPerform regional processing/cache function
Ex: Determine what goes upstreamMicro data centers
Initial interaction pointRepositories for high demand contentLocated to provide lowest level of latency
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The Stratified Structure• Requirements
• Flexibility• Must be able to adapt to shifts in demand
• Dynamic• 80/20 rule
• Security• At all levels• Ability to identify attacks• Dynamic re-routing of traffic
• Mission critical at all levels• Maximize uptime• Protect high cost equipment
• Converged equipment = more expensive• Tier III/IV (hub)
• If size dictates, commodity compute storage at hub• Tier III (edge, micro)
• Geography• Data centers located where they are needed
• Especially at edge, micro levels• Location decisions driven by customer locations
Commodity Level
Converged Level
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Planning for Stratified• From tactical to strategic
• More than we need a new data center in Cleveland• Need to think in 5-10 year periods
• Not 12-24 months• Impact from outside, NOT just inside
• Security• Network
• Considerations• Applications• End users
• Locations• Requirements• Expectations
• Network• Technical and financial
• Management and control
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Summary• Nature of data forcing the change• Majority of existing data centers/networks not
ready• Stratified networks will become more prevalent
• 2 major considerations:• Keep data closer to users• Lowest possible latency—generational shift in workers
• Data center roles will become more specific• Based on hierarchical location
• Planning will have to change• Tactical to strategic
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3 Key Things You Have Learned During this Session
1. Do we need bigger data centers2. Where is the edge 3. What will we see in the next 24
months