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EnBIS 2016 opening
The document discusses energy-awareness in cloud services and the sustainability challenges posed by the growing energy consumption of data centers, which accounted for 1.3% of worldwide energy production in 2010. It emphasizes green IT approaches and the need for holistic strategies across various layers of technology to enhance energy efficiency and reduce CO2 emissions. The ENBIS 2016 conference focused on fostering collaboration among research groups to tackle these challenges in sustainable data center management.
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EnBIS 2016 opening
- 1. Energy-awareness and BigData Management in Information Systems @EnBIS2016 Monica Vitali Politecnico di Milano Marina Zapater Universidad Complutense de Madrid
- 2. Motivation Towards cloud services:increment in the size and kind of information to be stored, processed, and analysed Question: Is it sustainable? Focus: Energy-awareness of cloud-based business activities, from the application to the resource management Challenges: Internet of Things and Big Data 2
- 3. Towards a Distributedbased Environment 3
- 4. Towards a Distributedbased Environment 4
- 5. Towards a Distributedbased Environment 5 +
- 6. Towards a Distributedbased Environment 6 + =
- 7. Data Center energyconsumption trends 7 500.000 DCs in the world Total Energy > 200 000 000 000 € / year
- 8. Data Center energyconsumption trends 8 1.3% Worldwide energy production in 2010 1 Data Center = 2012: Data Center power demand grew 63% to 38GW 2013: Further rise of 17% to 43GW Responsible for 2% CO2 emissions Jonathan Koomey, 2011. Growth in Data Center electricity use 2005 to 2010
- 9. Sustainability and CO2 ICTPower Consumption Distribution 9Greenpeace report “Clicking Green: A Guide to Building the Green Internet”, 2015
- 10. Measuring Data Centers- Energy Awareness 10
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- 13. Green IT Taxonomy 13M.Vitali and B. Pernici, “A Survey on Energy Efficiency in Information Systems,” IJCIS 2014
- 14. Green IT Approaches Severallayers, complementary approaches 14 Chip Server Rack Room Data Center Federated DCs IoT Application Scheduling & Allocation OS Compiler/VM Architecture Technology SoA started by covering largest chunk of power consumption
- 15. Green IT Approaches Severallayers, complementary approaches ● Savings by applying only best practices ● Impact of savings increases with level of abstraction 15
- 16. Traditional power breakdownin DCs ● Traditionally, cooling costs have been an important part of overall energy 16 IT Management Cooling Management
- 17. Traditional cooling techniques ●Raised-floor air-cooled DCs ● Both industry and academic devoted efforts to reduce DC cooling costs ○ Google reports PUE of 1.11 and 1.12 → Data Centers in very cold areas ● When power density increases, this techniques cannot be used anymore 17
- 18. Enabling high-density computation ●In order to achieve exascale computing, we need higher power densities ○ More efficient cooling ○ But also more efficient servers 18kw/Rack TraditionalHVAC refrigeration Hot/cold aisle contain- ment Component-based (liquid cooling) Close-coupled chilled water cooling (in-row or in-rack) Higher rack density Warmer water temperature
- 19. Green IT Approaches Severallayers, complementary approaches 19 Chip Server Rack Room Data Center Federated DCs IoT Scheduling & Allocation Application OS Compiler/VM Architecture Technology Goal: Holistic approach to energy efficiency and GreenIT (i.e: “Filling all the cells in the table”)
- 20. Chip-level techniques: 3Darchitectures 20 Chip Server Rack Room Data Center Federated DCs IoT Scheduling & Allocation Application OS Compiler/VM Architecture Technology
- 21. New transistor technologies:FD-SoI ● Dramatically impacts the trade-offs at upper abstraction layers 21 Chip Server Rack Room Data Center Federated DCs IoT Scheduling & Allocation Application OS Compiler/VM Architecture Technology
- 22. Heterogeneity: putting itall together ● Move towards heterogeneous chips, servers, rooms, data centers 22 Chip Server Rack Room Data Center Federated DCs IoT Scheduling & Allocation Application OS Compiler/VM Architecture Technology FDSoI Conventional CMOS Heterogeneous Servers, Racks...: 2D, 2.5D, 3D Chips...
- 23. Adaptive green techniques:application layer 23
- 24. Adaptive green techniques:application layer 24
- 25. EnBIS 2016 GOAL Lookat Green IT from a new perspective Face new challenges and new opportunities of Green IT Promote cooperation between research groups towards an holistic approach 25
- 26. EnBIS 2016 PapersSelection 6 Full Paper submitted 3 Papers Accepted for presentation 50% Acceptance Rate 26
- 27. EnBIS 2016 Schedule SESSION1 (9:00 - 10:30) Opening Presentation. Sustainable Data Centers (1 presentation) SESSION 2 (11:00 - 12:30) Panel Discussion: Enhancing multi-disciplinary collaboration between research groups SESSION 3 (14:00 - 15:30) Smart Buildings (2 presentations) 27
- 28. Energy-awareness and BigData Management in Information Systems @EnBIS2016 Monica Vitali Politecnico di Milano Marina Zapater Universidad Complutense de Madrid