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Distributed & Decentralized Cloud


Praerit Garg, Co-founder & President
Margaret Dawson, Vice President
How much digital data are
we creating every second?




                 www.symform.com
It’s all about the data


                               ➡58 Gigabytes of data
                                created every second

                               ➡35 Zettabytes of digitally
                                stored data by 2020

                               ➡ That’s enough data to fill a
                                 stack of DVDs reaching
                                 from the Earth to the
                                 moon and back — about
                                 240,000 miles each way.


33
But…

     The ‘Cloud’ Will Save Us!




44
Only one problem
    Cloud is powered by massive centralized
    infrastructure




5
Cloud driving massive data center build out
        Over 500,000 data
         centers worldwide
         covering 290m sqft or
         6,000 football fields




66
What percentage of North
American energy consumption do
 those data centers account for?




                     www.symform.com
Issues with over centralization
      ➡ Have to build for peak usage; excess capacity lying idle
      ➡ Power consumption issues
         • 2% of North American energy consumption goes to servers and data
           centers
         • 2% of global carbon footprint is data centers used to power cloud
           computing
         • Google uses 260 million watts continuously across the globe --
           equivalent to the power used by all the homes and businesses in a city of
           200,000 people.

      ➡ Energy grid management
      ➡ Potential security and physical vulnerabilities (e.g. fire)
      ➡ Costs - data centers are expensive to build and maintain
      ➡ Bandwidth bottlenecks
8 8
And we can’t keep pace with data growth . . .




99
Good news . . .
     The Internet is already highly distributed
                                                       Internet Users by Country




                        Billions of devices sitting on the edge
                        Data distributed across devices,
10
                         networks, data centers, and geos
You are already using distributed systems
     Cloud Computing is driving distributed models:
     ➡ Multi-tenant architecture
     ➡ Distributed database
     ➡ Virtualization
     ➡ Multi-threading
     ➡ Multi-core CPUs
     ➡ Parallel processing
     ➡ Distributed file systems
     ➡ Distributed Load Balancing
     ➡ RAID algorithms

11
And we’re realizing benefits

        ➡ System or process optimization
        ➡ Improved performance - faster
        ➡ Increased reliability & fault tolerance
        ➡ Lower costs
        ➡ Increased efficiencies
        ➡ Easier scalability or expansion
        ➡ Continuous or near continuous operations



12
12
What’s the largest distributed &
    decentralized system
         in the world?




                     www.symform.com
Distributed alone is not enough . . .
     Distributed only will not keep up with our data growth

     Still heavily
     based on
     centralized
     models with
     distributed
     components




14
Need to go beyond distributed to decentralized
     Why?
         Unused instances

         Over provisioning

         Under use of reserved instances

         Orphaned services

         Millions of dollars invested and wasted




                                            Contributing source: Mat Ellis
15
How to think about Decentralization
        ➡ No central hub or owner
        ➡ Power of large numbers
        ➡ Organic, demand driven growth in capacity
        ➡ Leverages existing infrastructure and devices on edge
        ➡ Shared information
        ➡ Concept of ―Contribution‖ to the community
        ➡ Assume everyone / every node is ―untrusted‖
        ➡ Geographic spread of:
           •   Ownership & participation
           •   Costs
           •   Management overhead
           •   Risks
16 16
Good news . . .



               There are good
                 examples of
               decentralization
                    today



17 17
Do you have an example of
 a decentralized system?




                 www.symform.com
Decentralized Development
    Open Source Movement
                                                  Programmers who support the
    ➡ Linux – a Unix-Based operating system       open source movement philosophy
                                                  contribute to the open
    ➡ Apache — a leading server software and
      scripting language on the web               source community by voluntarily
                                                  writing and exchanging
    ➡ MySQL — a database management system
                                                  programming code for software
    ➡ PHP — a widely used open source general-    development.
      purpose scripting language
    ➡ Blender — a 3D graphics and animation
      software
    ➡ OpenOffice.org – an office suite software
      with word processor, spreadsheet, and
      presentation capabilities
    ➡ Mozilla — a web browser and e-mail client
    ➡ Perl — a programming/scripting language
    ➡ Wikipedia — Online encyclopedia open for
      anyone to update and revise content
19 19
Decentralized Communications


       Skype is the largest telephone
       company in the world but has
       almost no centralized infrastructure




20
Decentralized Processing

                                Search for
                                extraterrestrial
                                intelligence (SETI)




       World
       Community
       Grid
21
Decentralized Cloud Storage
     What if we aggregated all the unused capacity across servers,
     desktops and storage devices on the edge of the Internet to build a
     global storage network?




22
Decentralized IT budgets
    Alas . . . Also already here
    ➡ CMOs often have as much IT purchasing power as CIOs
    ➡ Employees are buying rogue platforms, applications and devices




23 23
Whoa! . . . ―This is chaos for enterprise IT‖




24 24
Doesn’t mean loss of centralized control or IT power
    What Stays Centralized?
        ➡ IT Policy and governance

        ➡ Security and compliance mandates

        ➡ Definition of ―trust‖

        ➡ API management

        ➡ Shared services (SOA)

        ➡ Vendor evaluation guidelines

        ➡ Data analysis aggregation (search, e-discovery & reporting)



25 25
We are still in early stages
    Issues with decentralization
    ➡ Desire for Control

    ➡ Geo-political differences

    ➡ Random expertise

    ➡ Data security and encryption

    ➡ Integration

    ➡ Need more open API’s

    ➡ Consistent Quality of Service



26 26
How much digitally stored
data will there be by 2020?




                  www.symform.com
We still need data centers
        Data centers are ideal for:

        ➡ High volume, low latency
          transactions
        ➡ Data warehousing
        ➡ Search




28 28
But we can look for opportunities
     To Leverage Distributed & Decentralized Models

      ➡ Assumption of ―untrusted‖ should be your security
        principle today

      ➡ Worry less about where the data is and on how to control
        access

      ➡ Be the source of centralized policy and governance




29
Today’s Cloud: Centralized Data Centers

     Apple                    Amazon




                                Google




30
Tomorrow’s Cloud: Decentralized Grids




31 31
Q&A




      www.symform.com
Thank You
            margaret@symform.com
              praerit@symform.com




CloudNOW                               Cloud Connect
Advisory Council                       Advisory Council




                               www.symform.com

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The Distributed & Decentralized Cloud

  • 1. Distributed & Decentralized Cloud Praerit Garg, Co-founder & President Margaret Dawson, Vice President
  • 2. How much digital data are we creating every second? www.symform.com
  • 3. It’s all about the data ➡58 Gigabytes of data created every second ➡35 Zettabytes of digitally stored data by 2020 ➡ That’s enough data to fill a stack of DVDs reaching from the Earth to the moon and back — about 240,000 miles each way. 33
  • 4. But… The ‘Cloud’ Will Save Us! 44
  • 5. Only one problem Cloud is powered by massive centralized infrastructure 5
  • 6. Cloud driving massive data center build out  Over 500,000 data centers worldwide covering 290m sqft or 6,000 football fields 66
  • 7. What percentage of North American energy consumption do those data centers account for? www.symform.com
  • 8. Issues with over centralization ➡ Have to build for peak usage; excess capacity lying idle ➡ Power consumption issues • 2% of North American energy consumption goes to servers and data centers • 2% of global carbon footprint is data centers used to power cloud computing • Google uses 260 million watts continuously across the globe -- equivalent to the power used by all the homes and businesses in a city of 200,000 people. ➡ Energy grid management ➡ Potential security and physical vulnerabilities (e.g. fire) ➡ Costs - data centers are expensive to build and maintain ➡ Bandwidth bottlenecks 8 8
  • 9. And we can’t keep pace with data growth . . . 99
  • 10. Good news . . . The Internet is already highly distributed Internet Users by Country  Billions of devices sitting on the edge  Data distributed across devices, 10 networks, data centers, and geos
  • 11. You are already using distributed systems Cloud Computing is driving distributed models: ➡ Multi-tenant architecture ➡ Distributed database ➡ Virtualization ➡ Multi-threading ➡ Multi-core CPUs ➡ Parallel processing ➡ Distributed file systems ➡ Distributed Load Balancing ➡ RAID algorithms 11
  • 12. And we’re realizing benefits ➡ System or process optimization ➡ Improved performance - faster ➡ Increased reliability & fault tolerance ➡ Lower costs ➡ Increased efficiencies ➡ Easier scalability or expansion ➡ Continuous or near continuous operations 12 12
  • 13. What’s the largest distributed & decentralized system in the world? www.symform.com
  • 14. Distributed alone is not enough . . . Distributed only will not keep up with our data growth Still heavily based on centralized models with distributed components 14
  • 15. Need to go beyond distributed to decentralized Why?  Unused instances  Over provisioning  Under use of reserved instances  Orphaned services  Millions of dollars invested and wasted Contributing source: Mat Ellis 15
  • 16. How to think about Decentralization ➡ No central hub or owner ➡ Power of large numbers ➡ Organic, demand driven growth in capacity ➡ Leverages existing infrastructure and devices on edge ➡ Shared information ➡ Concept of ―Contribution‖ to the community ➡ Assume everyone / every node is ―untrusted‖ ➡ Geographic spread of: • Ownership & participation • Costs • Management overhead • Risks 16 16
  • 17. Good news . . . There are good examples of decentralization today 17 17
  • 18. Do you have an example of a decentralized system? www.symform.com
  • 19. Decentralized Development Open Source Movement Programmers who support the ➡ Linux – a Unix-Based operating system open source movement philosophy contribute to the open ➡ Apache — a leading server software and scripting language on the web source community by voluntarily writing and exchanging ➡ MySQL — a database management system programming code for software ➡ PHP — a widely used open source general- development. purpose scripting language ➡ Blender — a 3D graphics and animation software ➡ OpenOffice.org – an office suite software with word processor, spreadsheet, and presentation capabilities ➡ Mozilla — a web browser and e-mail client ➡ Perl — a programming/scripting language ➡ Wikipedia — Online encyclopedia open for anyone to update and revise content 19 19
  • 20. Decentralized Communications Skype is the largest telephone company in the world but has almost no centralized infrastructure 20
  • 21. Decentralized Processing Search for extraterrestrial intelligence (SETI) World Community Grid 21
  • 22. Decentralized Cloud Storage What if we aggregated all the unused capacity across servers, desktops and storage devices on the edge of the Internet to build a global storage network? 22
  • 23. Decentralized IT budgets Alas . . . Also already here ➡ CMOs often have as much IT purchasing power as CIOs ➡ Employees are buying rogue platforms, applications and devices 23 23
  • 24. Whoa! . . . ―This is chaos for enterprise IT‖ 24 24
  • 25. Doesn’t mean loss of centralized control or IT power What Stays Centralized? ➡ IT Policy and governance ➡ Security and compliance mandates ➡ Definition of ―trust‖ ➡ API management ➡ Shared services (SOA) ➡ Vendor evaluation guidelines ➡ Data analysis aggregation (search, e-discovery & reporting) 25 25
  • 26. We are still in early stages Issues with decentralization ➡ Desire for Control ➡ Geo-political differences ➡ Random expertise ➡ Data security and encryption ➡ Integration ➡ Need more open API’s ➡ Consistent Quality of Service 26 26
  • 27. How much digitally stored data will there be by 2020? www.symform.com
  • 28. We still need data centers Data centers are ideal for: ➡ High volume, low latency transactions ➡ Data warehousing ➡ Search 28 28
  • 29. But we can look for opportunities To Leverage Distributed & Decentralized Models ➡ Assumption of ―untrusted‖ should be your security principle today ➡ Worry less about where the data is and on how to control access ➡ Be the source of centralized policy and governance 29
  • 30. Today’s Cloud: Centralized Data Centers Apple Amazon Google 30
  • 32. Q&A www.symform.com
  • 33. Thank You margaret@symform.com praerit@symform.com CloudNOW Cloud Connect Advisory Council Advisory Council www.symform.com

Editor's Notes

  1. Do we have enough data centers to fit? Can we build them fast enough to stay ahead of demand?Simple back of the envelope math shows the problem. If we were to store the 0.8 ZB of storage today in Google (assuming their 1M servers) we would need a 160 Google’s. In 2015, Google will obviously grow, but even if they quadrupled we would need 450 Google’s.This approach is just not sustainable.
  2. Reduce function: Chopping something into pieces: data, processes, applicationsDistribution function: Spreading those pieces across multiple systemsResource sharingParallel executions