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EEDC

                          34330
Execution                            Everything as a Service:
Environments for                        Powering the New
Distributed                           Information Economy
Computing
Master in Computer Architecture,
Networks and Systems - CANS



                                           Homework number: 5
                                          Group number: EEDC-30
                                             Group members:
                                        Javier Álvarez – javicid@gmail.com
                                   Francesc Lordan –francesc.lordan@gmail.com
                                     Roger Rafanell – rogerrafanell@gmail.com
Information is one of the most valuable resources




There is a worldwide need for real-time information
Research aims to deliver

●   Technologies for servers, storage, net and management (IaaS).
●   Technologies for a shared cloud infrastructure (PaaS).
●   Novel consumer and enterprise services (SaaS).
IaaS
Scalable computing services

●   Offers: Virtual Machine instances

●   Main Challenge: Energy efficiency!
IaaS
Scalable storage services
●   Offers also:
    –   Block devices
    –   File systems
    –   Databases, ...


●   Main Challenge (CAP Theorem):
    –   Consistency: Are reads consistent with the last write?
    –   Availability: Can I access my data?
    –   Partition-Tolerance: Can my system tolerate a split in N parts?
Solutions (server design)
●   Heatpipes server cooling technology improve energy efficiency
    by factor of 4-6 to current one.
Solutions (cost reduction)
●   Net zero datacenter design: Reduce datacenter cost & minimize energy
    consumptions.
    ●   Non-critical services can be run with time-variant and “free” power supplies.




    ●   41% reduction in life-cycle energy footprint and 48% reduction in TOC.
    ●   If every datacenter applied these techniques:
         –   Savings of 650.000 TeraJoules in 3 years = Peru energy production.
Solutions

●   Erasure coding system




    + Can tolerate more failures.
    - Management protocols become more complicated.
PaaS

●   Separation between:
    ●   Infrastructure management
    ●   Service management


    Guaranteeing:
    ●   Security, isolation, reliability of the infrastructure.
Solutions
●   Cell-as-a-Service
        Allows isolated infrastructure definition through XML resource
        description document (Cell model description).
    ●   Cell controller allows:
         –   Describe VM Specs: Memory, buses, subnets (overlay),
             failure reactions.
         –   Interact securely with service provider & monitor virtual
             infrastructure.
    ●   Cell management:
         –   Create & Delete virtual components.
         –   Manage the connectivity among them.
SaaS
●   New class of services for an increasingly
    connected population.

●   Collective intelligence for a large variety of
    uses.
Solutions
●   Software-as-a-Service
    ●   ePrint
        –   Use mobile devices to send files to print.
    ●   Rankr
        –   Create rankings by aggregating collective wisdom.
    ●   i-Catcher
        –   Long-term popularity predictions based in initial
            popularity.
    ●   Watercooler
        –   Enterprise collaboration 2.0 technology.
Conclusions

●   Great progress has been done in Cloud
    computing but many challenging problems still
    remain.

●   Scientists and engineers need to continue
    pushing forward or the advances will not take
    place.
Questions

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EEDC Everthing as a Service

  • 1. EEDC 34330 Execution Everything as a Service: Environments for Powering the New Distributed Information Economy Computing Master in Computer Architecture, Networks and Systems - CANS Homework number: 5 Group number: EEDC-30 Group members: Javier Álvarez – javicid@gmail.com Francesc Lordan –francesc.lordan@gmail.com Roger Rafanell – rogerrafanell@gmail.com
  • 2. Information is one of the most valuable resources There is a worldwide need for real-time information
  • 3. Research aims to deliver ● Technologies for servers, storage, net and management (IaaS). ● Technologies for a shared cloud infrastructure (PaaS). ● Novel consumer and enterprise services (SaaS).
  • 4. IaaS Scalable computing services ● Offers: Virtual Machine instances ● Main Challenge: Energy efficiency!
  • 5. IaaS Scalable storage services ● Offers also: – Block devices – File systems – Databases, ... ● Main Challenge (CAP Theorem): – Consistency: Are reads consistent with the last write? – Availability: Can I access my data? – Partition-Tolerance: Can my system tolerate a split in N parts?
  • 6. Solutions (server design) ● Heatpipes server cooling technology improve energy efficiency by factor of 4-6 to current one.
  • 7. Solutions (cost reduction) ● Net zero datacenter design: Reduce datacenter cost & minimize energy consumptions. ● Non-critical services can be run with time-variant and “free” power supplies. ● 41% reduction in life-cycle energy footprint and 48% reduction in TOC. ● If every datacenter applied these techniques: – Savings of 650.000 TeraJoules in 3 years = Peru energy production.
  • 8. Solutions ● Erasure coding system + Can tolerate more failures. - Management protocols become more complicated.
  • 9. PaaS ● Separation between: ● Infrastructure management ● Service management Guaranteeing: ● Security, isolation, reliability of the infrastructure.
  • 10. Solutions ● Cell-as-a-Service Allows isolated infrastructure definition through XML resource description document (Cell model description). ● Cell controller allows: – Describe VM Specs: Memory, buses, subnets (overlay), failure reactions. – Interact securely with service provider & monitor virtual infrastructure. ● Cell management: – Create & Delete virtual components. – Manage the connectivity among them.
  • 11. SaaS ● New class of services for an increasingly connected population. ● Collective intelligence for a large variety of uses.
  • 12. Solutions ● Software-as-a-Service ● ePrint – Use mobile devices to send files to print. ● Rankr – Create rankings by aggregating collective wisdom. ● i-Catcher – Long-term popularity predictions based in initial popularity. ● Watercooler – Enterprise collaboration 2.0 technology.
  • 13. Conclusions ● Great progress has been done in Cloud computing but many challenging problems still remain. ● Scientists and engineers need to continue pushing forward or the advances will not take place.