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GREEN IT
FOR TELECOM OSS BUSINESS
TRANSFORMATION
Challenges
• Data Center Problems

Energy
• Challenges & Solutions

Our Approach
• Approach & Key Differentiators

Summary
• Conclusions
Datacenter Costs
      1 large, 100,000 sq ft
        Datacenter
        – 30MW Power
          Consumption
           • Equivalent Power
             Consumption of 60,000
             individuals
           • Equivalent CO2 Output of
             6,700 Households or
             23,000 cars
Data Centers
     – Highly energy-intensive and rapidly
       growing
     – Consume 10 to 100 times more energy
       per square foot
       than a typical office building
     – Large potential impact on electricity
       supply
       and distribution
     – Used about 45 billion kWh
       in 2005
     – At current rates, power
       requirements could double
       in 5 years.


                               4
Key Barriers

•       Lack of efficiency definitions for equipment and data
        centers (Being addressed by www.thegreengrid.org)
    –     Service output difficult to measure, varies among applications
    –     Need for metrics and more data:
            How do we account for computing performance?

•       Split incentives
    –     Disconnect between IT and facilities managers

•       Risk aversion
    –     Fear of change and potential downtime; energy efficiency perceived as
          a change with uncertain value and risk




5
Energy Efficiency Opportunities




       Power             Server Load/    Cooling
    Distribution &        Computing     Equipment
    Conversions           Operations




6
Data Center Energy Use
             Typical Data Center Energy End Use

100 Units                           Power Conversions
                                         & Distribution



35 Units
                          Cooling
                        Equipment    Server Load
                                    /Computing
                                    Operations

            33 Units
            Delivered




                                                   7
2007: Is “Green” Software
                 Possible?
• “More efficient, 'greener' coding strategies could also come
  from developments in high performance computing.
• The requirement to devise smarter software to exploit
  parallel, multiprocessor architectures will inevitably mean
  more efficient use of hardware resources and better coding
  techniques all round.
• It could even mark a return to the obsessions of an earlier age
  of software development when resources were scarce - when,
  indeed, hardware was big, energy inefficient and expensive.”
          “Is Green Software Possible?”, Phil Manchester
          It isn't easy being green in an abstract world
          http://www.theregister.co.uk/2007/07/21/green_software_possibility/

              OSSera Proprietary and Confidential
2011: Researcher Nabs $500K to Work On "Green Software"
                      BY DAVID ZAX | 03-28-2011 | 10:28 AM



”… if your data center's
energy bill is 10% of your
operational cost, it makes
sense for programmers to
write code that will save
energy."

David Lui, BYU




            OSSera Proprietary and Confidential
OUR APPROACH
TO GREEN IT
OSSera’s Commitment to
   Green IT Software Design
                                       ”…our OSS platform is symmetrically
                                          distributed for high performance
                                      computing – the foundation for green
                                                          software design.”
                                              David Deng, CTO OSSera, Inc.




OSSera Proprietary and Confidential
OSSera Platform
…OSSera’s Platform is
Multi-threaded Load Balancing
Benefits
Assurance Suite: CEM,SQM,PM,FM
   Planning                        CEM,
   Blueprints                      Service
                                   Operations
                     Unified
                                   Service/Resource
                      Data
99.999%                            Quality,
                     Model
Availability                       Impact,
                                   Troubleshooting,
Symmetrically                      & RCA
Distributed
Multi-threaded

Scalability
High Performance
Computing
Key Differentiators: Server Load / Computing Operations


                   Symmetrically                   Small Core
                   Distributed                     • High quality
                   • High Performance              • Flexible in extensions
                   • Reliability                   • Small Footprint
                   • Scalability                   • Downloadable
                   • Flexibility
                   • Efficient Energy Use



                   High Performance                2007+
                   • Process more with less        • Software Architecture
                     hardware                        inherently leverages
                   • Process more across             newer “Green
                     legacy hardware                 Architecture
                   • Share processors with           Techniques”
                     other software




             OSSera Proprietary and Confidential
Conclusions
• IT is a major power consumer
• A significant percentage of the power is wasted
• Opportunities exist to dramatically improve IT
  energy efficiency
• IT can be a very beneficial part of the Green
  movement
• Since 2007 OSSera has inherently followed
  Green Software design for OSS Business
  Transformation
OSSera's Approach and Commitment to Green IT

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OSSera's Approach and Commitment to Green IT

  • 1. GREEN IT FOR TELECOM OSS BUSINESS TRANSFORMATION
  • 2. Challenges • Data Center Problems Energy • Challenges & Solutions Our Approach • Approach & Key Differentiators Summary • Conclusions
  • 3. Datacenter Costs 1 large, 100,000 sq ft Datacenter – 30MW Power Consumption • Equivalent Power Consumption of 60,000 individuals • Equivalent CO2 Output of 6,700 Households or 23,000 cars
  • 4. Data Centers – Highly energy-intensive and rapidly growing – Consume 10 to 100 times more energy per square foot than a typical office building – Large potential impact on electricity supply and distribution – Used about 45 billion kWh in 2005 – At current rates, power requirements could double in 5 years. 4
  • 5. Key Barriers • Lack of efficiency definitions for equipment and data centers (Being addressed by www.thegreengrid.org) – Service output difficult to measure, varies among applications – Need for metrics and more data: How do we account for computing performance? • Split incentives – Disconnect between IT and facilities managers • Risk aversion – Fear of change and potential downtime; energy efficiency perceived as a change with uncertain value and risk 5
  • 6. Energy Efficiency Opportunities Power Server Load/ Cooling Distribution & Computing Equipment Conversions Operations 6
  • 7. Data Center Energy Use Typical Data Center Energy End Use 100 Units Power Conversions & Distribution 35 Units Cooling Equipment Server Load /Computing Operations 33 Units Delivered 7
  • 8. 2007: Is “Green” Software Possible? • “More efficient, 'greener' coding strategies could also come from developments in high performance computing. • The requirement to devise smarter software to exploit parallel, multiprocessor architectures will inevitably mean more efficient use of hardware resources and better coding techniques all round. • It could even mark a return to the obsessions of an earlier age of software development when resources were scarce - when, indeed, hardware was big, energy inefficient and expensive.” “Is Green Software Possible?”, Phil Manchester It isn't easy being green in an abstract world http://www.theregister.co.uk/2007/07/21/green_software_possibility/ OSSera Proprietary and Confidential
  • 9. 2011: Researcher Nabs $500K to Work On "Green Software" BY DAVID ZAX | 03-28-2011 | 10:28 AM ”… if your data center's energy bill is 10% of your operational cost, it makes sense for programmers to write code that will save energy." David Lui, BYU OSSera Proprietary and Confidential
  • 11. OSSera’s Commitment to Green IT Software Design ”…our OSS platform is symmetrically distributed for high performance computing – the foundation for green software design.” David Deng, CTO OSSera, Inc. OSSera Proprietary and Confidential
  • 16. Assurance Suite: CEM,SQM,PM,FM Planning CEM, Blueprints Service Operations Unified Service/Resource Data 99.999% Quality, Model Availability Impact, Troubleshooting, Symmetrically & RCA Distributed Multi-threaded Scalability High Performance Computing
  • 17. Key Differentiators: Server Load / Computing Operations Symmetrically Small Core Distributed • High quality • High Performance • Flexible in extensions • Reliability • Small Footprint • Scalability • Downloadable • Flexibility • Efficient Energy Use High Performance 2007+ • Process more with less • Software Architecture hardware inherently leverages • Process more across newer “Green legacy hardware Architecture • Share processors with Techniques” other software OSSera Proprietary and Confidential
  • 18. Conclusions • IT is a major power consumer • A significant percentage of the power is wasted • Opportunities exist to dramatically improve IT energy efficiency • IT can be a very beneficial part of the Green movement • Since 2007 OSSera has inherently followed Green Software design for OSS Business Transformation

Notas do Editor

  1. http://www.theregister.co.uk/2007/07/21/green_software_possibility/
  2. http://www.fastcompany.com/1742588/researcher-nabs-500k-to-work-towards-green-software
  3. http://www.fastcompany.com/1742588/researcher-nabs-500k-to-work-towards-green-software
  4. Platform contains core librariesScalabilityFlexibility
  5. Framework is used to develop products
  6. Using state of art technologies and software tools, OSSera’s platform delivers:Unified view of data model among different technologies, systems and products;Distributed system enabling virtually unlimited performance and scalability;Flexible processing engine and environment for workflow execution, process flow and system integration;Standard interface for managed systems or managing systems;Versatile integrated framework for quickly developing software solutions.