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CSE 691: Energy-Efficient Computing Lecture 20 review Anshul Gandhi 1307, CS building
Lenovo: Laptop-level PM
Host Power Management 1.C-states to lower idle power 2.P-states to lower active power (+TurboBoost)
Host Power Management
Distributed Resource Scheduler Migrate VMs for priority and to maintain minimum resource requirements
Distributed Resource Scheduler
Distributed Power Management Migrate VMs for host power savings Requires WOL ! Different from HPM (local vs. distributed)
Distributed Power Management
HPM vs. DPM 8 hosts. 30min idle, 30min load, 30min idle
Google: Data center-level PM
Best practices 1.Thermostat 2.Airflow 3.Outside air 4.Don’t turn off servers – use them somehow.
Natural cooling LocationCoolingCompanies Hamina, FinlandSeawaterGoogle Dublin, IrelandOutside airAmazon, MS, Google Lulea, Sweden Outside air + server exhaust + hydro-electricity FB Rjukan, Norway Outside air +hydro-electricity Telemark Reykjavik, IcelandOutside airVerne Global
power_provisioning paper (Google)
Average vs. Peak vs. Max
Power capping – extra deployment
DVFS 1.Simulation results 2.Latency?
Energy in Cloud Computing and Renewable Energy Reza Farivar.
Exploring the Potential of CMP Core Count Management on Data Center Energy Savings Ozlem Bilgir * Margaret Martonosi * Qiang Wu * Princeton University.
1 Chapter 12: Green Data Centers Yan Zhang and Nirwan Ansari Advanced Networking Laboratory New Jersey Institute of Technology Newark, NJ HANDBOOK.
Lecture 4: Power Provisioning Prof. Fred Chong 290N Green Computing.
Data Center Design Issues Bill Tschudi, LBNL
Copyright 2010 ITRI 工業技術研究院 11 ITRI Cloud OS & Virtual Resource Management Patrick Fu System Software Division, CCMA/ITRI
Energy and heat-aware metrics for data centers Jaume Salom, Laura Sisó IREC - Catalonia Institute for Energy Research Ariel Oleksiak, Mateusz.
CSE502: Computer Architecture Welcome to CSE 502 Introduction & Review.
1 1 North Central USA South Central USA Northern Europe Western Europe Eastern Asia Southeast Asia 24 x Node CDN.
Pat Stemen Senior Program Manager Windows Platform Architecture Group Microsoft Corporation.
Elastic Provisioning In Virtual Private Clouds Prashant Shenoy University of Massachusetts Amherst *Joint work with Tim Wood, K.K Ramakrishnan and Kobus.
SAN DIEGO SUPERCOMPUTER CENTER at the UNIVERSITY OF CALIFORNIA, SAN DIEGO Green Datacenter Initiatives at SDSC Matt Campbell SDSC Data Center Services.
Network Services for Enhanced Cloud Computing T. V. Lakshman Bell Labs (Jointly with F. Hao, S. Mukherjee, H. Song)
XEnergy Technologies Energy Efficiency Through Creativity.
ENERGY + INNOVATION This power point adapted from the USGBCs Top Ten No-Cost Ways to Lower Your Schools Utility Bills FOR THE LIFE OF YOUR BUILDING.
UC Berkeley 1 Cloud Computing and the RAD Lab David Patterson, UC Berkeley Reliable Adaptive Distributed Systems Lab Image: John Curley
© Technical University of Catalonia - Second University of Naples - Barcelona Supercomputing Center (BSC)1 Chapter x: Green Datacenter Infrastructures.
Energy Efficient Air Conditioning. AC Usage survey AC UTILIZATION SURVEY RESULTS Average No. of ACs per room ACs 18%69%9%3%6% Hours of use h.
Global Leader in Load Bank Rentals & Service Innovations in Data Center Commissioning.
Power Saving. 2 Greening of the Internet Main idea: Reduce energy consumption in the network by turning off routers (and router components) when they.
VARUN GUPTA Carnegie Mellon University 1 Partly based on joint work with: Anshul Gandhi Mor Harchol-Balter Mike Kozuch (CMU) (CMU) (Intel Research)
Month 2012 Committed to Connecting the World International Telecommunication Union Green Data Centers Overview of ITU-T Recommendation L Seventh.
Jiakang Lu, Tamim Sookoor, Vijay Srinivasan, Ge Gao, Brian Holben, John Stankovic, Eric Field, Kamin Whitehouse SenSys10.
1K. Kant, Modeling Challenges in Distributed Energy Adaptive Computing Challenges in Distributed Energy Adaptive Computing K. Kant NSF and GMU.
Schneider Electric Energy Solutions: Make the Most of your Energy.
Committed to Connecting the World International Telecommunication Union Overview of ITU-T Recommendations L.1300 ( ) and L.1310 (Energy efficiency metrics.
OVERVIEW Virtualization Defined Server Virtualization Current Network Diagram Virtualized Diagram Cost of not Virtualizing Benefits and Cost Savings of.
Centre for Communications Research Scheduling Techniques for Improving Call Capacity for VoIP Traffic in MIMO-OFDMA Networks M. Nicolaou, S. Armour, A.
© 2009 VMware Inc. All rights reserved EXP10390: SAP on VMware HA Architecture Christoph Reisbeck, Sr. Manager SAP Business Development.
Reduce Your IT Costs. Microsoft’s Core Infrastructure Solutions NEXT GENERATION DESKTOP EMPOWERING SERVICES Desktop Datacenter CLOUD COMPUTING.
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