Intelligent placement of_datacenters_for_internet_services_ioanna_tsalouchidou

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Intelligent placement of_datacenters_for_internet_services_ioanna_tsalouchidou

  1. 1. EEDCExecution 34330 Intelligent Placement of Datacenters for InternetEnvironments for ServicesDistributedComputingEuropean Master In DistributedComputing (EMDC) Homework number: 6 Paper Presentation, EEDC Ioanna Tsalouchidou – ioannatsalouchidou@gmail.com
  2. 2. Contents• Datacenters• The Problem• Framework• The placement tool• Evaluation• Tradeoffs• Conclusions 2
  3. 3. Datacenters• Where Google, Yahoo, Microsoft etc host services• Geographically distributed• Enormous cost of provisioning• Locations selected intelligently 3
  4. 4. The ProblemSelecting the location● ● Optimization problem ● SolutionsEfficiency and accuracy●Characterization of the areas●Quantification and tradeoffs● 4
  5. 5. FrameworkParameters:● CAPEX (CAP_ind, CAP_max, CAP_act) ● Costs OPEX (OP_alt, OP_utl) ● Response Time ● Consistency delay ● Availability ● CO2 emissions 5
  6. 6. FrameworkFormulating the problem:● ● Input ● Max number of servers ● Utilization of servers ● Number of users ● Redundancy ● Network latency ● Output ● Optimal cost ● Max number of servers/location ● Number of servers/population center ● Existing datacenters 6
  7. 7. FrameworkSolution approaches● ● Simple linear programming, LP0 ● Pre-Set linear programming, LP1 ● Brute force ● Heuristic based on LP ● Simulated annealing plus, SA+LP1 ● Optimized SA+LP1, OSA+LP1 7
  8. 8. The ToolLocation Dependent Data● ● Network backbones ● Power plants, transmission lines, CO2 emissions ● Electricity, land, water, temperature ● Missing data 8
  9. 9. The ToolCharacteristics● ● Datacenter size, cooling, PUEs ● Connection costs ● Building costs ● Land costs ● Water costs ● Servers, internal networking costs ● Staff costs 9
  10. 10. EvaluationCost achieved● ● Comparison with Brute force ● 3 days execution ● 5 datacenters 10
  11. 11. Evaluation 11
  12. 12. Placement Tradeoffs Questions: ● Latency cost ● Availability cost ● Consistency cost ● Green datacenter network cost: ● huge CO2 emission ● Chiller-less datacenter network cost increase: ● 20% energy consumption, 30% building cost 12
  13. 13. Placement Tradeoffs 13
  14. 14. ConclusionAutomatic placement of Datacenters●Optimization framework●Solution approaches●Tradeoffs●Future: more fine grained input data automatically● 14
  15. 15. EEDCExecution 34330 Intelligent Placement of Datacenters for InternetEnvironments for ServicesDistributedComputingEuropean Master In DistributedComputing (EMDC) Homework number: 6 Paper Presentation, EEDC Ioanna Tsalouchidou – ioannatsalouchidou@gmail.com

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