Michael Enescu - Cloud + IoT at IEEE

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The Internet of Things arrived last decade when the number of devices (that can connect) outnumbered the world population. We have now entered a new age. The evolution from #virtualization to #cloud to #IoT and #BigData a consequence of the Moore Nielsen prediction and the rise of Fog Computing. The role of #OpenSource and #OpenStandards and the importance of the new trend: Open Data as the only way to keep sanity in Big Data. This is my presentation at the IEEE International Conference on Cloud Engineering in Boston on Pi Day 2014

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Michael Enescu - Cloud + IoT at IEEE

  1. 1. © 2014 Cisco and/or its affiliates. All rights reserved. 1© 2014 Cisco and/or its affiliates. All rights reserved. 1 Michael Enescu CTO/Head of Open Source Initiatives March 14, 2013
  2. 2. © 2014 Cisco and/or its affiliates. All rights reserved. 22 •  How did we get here: virtualization •  What is Fog Computing and IoT •  Where are we going: the “Open” future of IoT
  3. 3. © 2014 Cisco and/or its affiliates. All rights reserved. 3 7.26.8 7.6 Rapid Adoption rate of digital infrastructure: 5X faster than electricity and telephony 50Billion Internetconnectedthings 50 2010 2015 2020 0 40 30 20 10 Billionsofdevices 25 12.5 Inflection point Timeline Source: Cisco IBSG, 2011
  4. 4. © 2014 Cisco and/or its affiliates. All rights reserved. 4 *Cisco VNI Study 2012 of “things” are unconnected 99% Traffic Growth 4xTransition to Cloud* Mobility Wi-Fi 50%of Traffic (Video over Mobile Devices)* The Network Has to Change Intelligent Device Growth 2.5/Person BYOD Programmable Mobile and Cloud Simple The Network Is the Platform to Connect the Previously Unconnected
  5. 5. © 2014 Cisco and/or its affiliates. All rights reserved. 5 Internet of Things Cloud Any Device Video Virtual Mobile Packet Switched Routed Network as Platform Bridged Unconnected DC PC Voice & Data Dedicated Fixed Circuit Shared The Network Is the Platform to Connect the Previously Unconnected
  6. 6. © 2014 Cisco and/or its affiliates. All rights reserved. 6 Centralized -> Decentralized Decentralized -> Centralized Fixed, role based model Easier ops model, new apps New devices, P2P, M2M Dedicated compute loads On-Demand, XaaS, AAA New PIN’s, improved protocols Mainframe & Client-Server Virtualization & Cloud IoT & Fog 1st 2nd 3rd Moore Nielsen Prediction Power+computereachAAA Centralized -> Decentralized
  7. 7. © 2014 Cisco and/or its affiliates. All rights reserved. 7 •  Storage and Compute declining faster •  Network scales very differently than compute Sensors will evolve faster than bandwidth Distributed computing more compelling over time •  Data gravity? Computation Storage Communication Moore’s and Nielsen’s predictions hold
  8. 8. © 2014 Cisco and/or its affiliates. All rights reserved. 8 1.1x109 dp/day Data points generated by sensors.5x1012 B/week Data generated by an offshore oil rig 1x1012 B/day Data generated by an oil refinery 2x1013 B/hour Data generated by a jet engine 90% of the world’s data created in last 2 years IoT = Small sensors + Big Data + Action IoT Traffic will grow at 82% CAGR through 2017* brings new dimensions we are barley beginning to sense
  9. 9. © 2014 Cisco and/or its affiliates. All rights reserved. 9 •  Networking is changing: 50B+ Devices coming – Immense amount of data No longer about “data transport” Moving to “intelligence about data”: Understanding and taking actions •  Analytics are changing: Massive data => can not move data fast enough to analytics => move analytics to the data Real-time actions => processing compute closer to the source •  Consequently three new trends emerge: Dramatic growth in number of applications (+optimization/specialization) for analytics at the edge Dramatic growth in the computational complexity to ETL only essential data information to the core The drive to instrument the “data” to be “open” not closed/locked-in (more on this later)
  10. 10. Traditional model: Store First, Query Later •  Fetch, •  Analyze, •  Report ! Generate Actionable Events, Integrate with Policy/Mgmt System Store raw data or filtered data for further mining. Data in Motion model: Process First, Store Optional Input Data Input Data Rules can express: •  Predicates and Filters •  Contextual/Dimension Data •  Aggregations •  Pattern Matching •  Categorization & Classification •  Sub-queries … •  Fetch, •  Analyze, •  Report Data-base waiting for Queries Query-base waiting for Data
  11. 11. © 2014 Cisco and/or its affiliates. All rights reserved. 11 Time Present Data Sources M2M Gateway Intermediate Server/ Gateway Data Center Achieved Data Achieved Data Achieved Data Data-Mining, Machine Learning, Pattern Recognition, Cause-Effect, etc. Future Predict
  12. 12. © 2014 Cisco and/or its affiliates. All rights reserved. 12 Cloud Device/Smart Object North/South Flows East/West FlowsFog Fog Nodes can be multi-tenant Shared, public or private (like cloud) Highly virtualized environment Secured & isolated tenants, QoS, workload distribution Mixed ownership & operation Single entity, federation of agencies Service Mobility Ability to migrate a running instance from cloud to edge Fog is the distributed, hierarchically organized platform where the Internet meets the physical world at M2M scale
  13. 13. © 2014 Cisco and/or its affiliates. All rights reserved. 13 •  Operating System: Linux – by far the most successful open source project ever •  Virtualization: Hypervisor: xen, kvm, … Network: OpenDaylight Controller, OVS, NFV, … •  Cloud: Open Stack, Cloud Stack, oVirt, … •  Applications: … •  Internet of Things: Eclipse M2M – over a dozen new projects: kura, krikkitt, … Linux Foundation AllSeen Multiple P2P
  14. 14. © 2014 Cisco and/or its affiliates. All rights reserved. 14 •  “All IoT Software will be Open Source” •  Why? Open Source = collaboration (at the largest possible scale) Open Source = credibility Open Source dominates virtualization: Hypervisor, OS, FS, … Cloud compute is a direct consequence of virtualization Of the physical machine (compute, memory, storage, I/O), the physical network Open Source dominates development environments, applications: Mobility, Data, Big Data, Analytics, Security, … Fog as an extension of the cloud is no exception From gateways, to smart devices, do any device, to sensors Though more work and collaboration is needed •  And where is Open Source already in the Internet of Things?
  15. 15. © 2014 Cisco and/or its affiliates. All rights reserved. 15 @michaelenescu Everywhere! Thank You

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