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CSE 691: Energy-Efficient Computing Lecture 20 review Anshul Gandhi 1307, CS building firstname.lastname@example.org
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 400VMs @ 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?
CSE 691: Energy-Efficient Computing Lecture 3 SLEEP: full-system Anshul Gandhi 1307, CS building
CSE 591: Energy-Efficient Computing Lecture 4 SLEEP: full-system Anshul Gandhi 347, CS building
CSE 691: Energy-Efficient Computing Lecture 4 SCALING: stateless vs. stateful Anshul Gandhi 1307, CS building
CSE 591: Energy-Efficient Computing Lecture 8 SOURCE: renewables Anshul Gandhi 347, CS building
CSE 691: Energy-Efficient Computing Lecture 6 SHARING: distributed vs. local Anshul Gandhi 1307, CS building
CSE 591: Energy-Efficient Computing Lecture 1: Intro and Logistics Anshul Gandhi 347, New CS building
CSE 691: Energy-Efficient Computing Lecture 7 SMARTS: custom-made systems Anshul Gandhi 1307, CS building
CSE 591: Energy-Efficient Computing Lecture 3 SPEED: processor Anshul Gandhi 347, CS building
VGreen: A System for Energy Efficient Manager in Virtualized Environments G. Dhiman, G Marchetti, T Rosing ISLPED 2009.
Cutting the Electric Bill for Internet-Scale Systems Kevin Leeds.
Green IT and Data Centers Darshan R. Kapadia Gregor von Laszewski 1.
Energy Efficient Web Server Cluster Andrew Krioukov, Sara Alspaugh, Laura Keys, David Culler, Randy Katz.
Anshul Gandhi (Carnegie Mellon University) Varun Gupta (CMU), Mor Harchol-Balter (CMU) Michael Kozuch (Intel, Pittsburgh)
October 10, Why Green Committed to UT Sustainability Policy Opportunity to make a difference Green IT is good business!
CS203 – Advanced Computer Architecture Warehouse Scale Computing.
COMP 4923 A2 Data Center Cooling Danny Silver JSOCS, Acadia University.
Energy-efficient Virtual Machine Provision Algorithms for Cloud System Ching-Chi Lin Institute of Information Science, Academia Sinica Department of Computer.
Challenges towards Elastic Power Management in Internet Data Center.
Green Cloud Computing Hadi Salimi Distributed Systems Lab, School of Computer Engineering, Iran University of Science and Technology,
Increasing DC Efficiency by 4x Berkeley RAD Lab
Ensieea Rizwani An energy-efficient management mechanism for large-scale server clusters By: Zhenghua Xue, Dong, Ma, Fan, Mei 1.
Temperature Aware Load Balancing For Parallel Applications Osman Sarood Parallel Programming Lab (PPL) University of Illinois Urbana Champaign.
Sherif Akoush 2 June 2008 Renewable Energy and Data Centres.
PARAID: The Gear-Shifting Power-Aware RAID Charles Weddle, Mathew Oldham, An-I Andy Wang – Florida State University Peter Reiher – University of California,
What is Energy? Energy can come from the sun It is used to power your home Energy can be used to heat things It is used to create electricity.
Maximizing Your IT Budget through Energy Efficiency Heather Feigum Focus on Energy Advisor.
CoolAir Temperature- and Variation-Aware Management for Free-Cooled Datacenters Íñigo Goiri, Thu D. Nguyen, and Ricardo Bianchini 1.
Datacenter Power State-of-the-Art Randy H. Katz University of California, Berkeley LoCal 0 th Retreat “Energy permits things to exist; information, to.
CSE 531: Performance Analysis of Systems Lecture 1: Intro and Logistics Anshul Gandhi 1307, CS building
Thermal Aware Data Management in Cloud based Data Centers Ling Liu College of Computing Georgia Institute of Technology NSF SEEDM workshop, May 2-3, 2011.
Accounting for Load Variation in Energy- Efficient Data Centers Dzmitry KliazovichUniversity of Luxembourg, Luxembourg Pascal Bouvry Sisay T. ArzoUniversity.
Experiences of Havering Sixth Form College Graham Francis Director of IT Services.
Proteus: Power Proportional Memory Cache Cluster in Data Centers Shen Li, Shiguang Wang, Fan Yang, Shaohan Hu, Fatemeh Saremi, Tarek Abdelzaher.
MODULAR DATA CENTER PUE MODULAR DATA CENTER Container Park with: - EATON power infrastructure (UPS + electrical infrastructure) - AST Containers.
Computational Sprinting on a Real System: Preliminary Results Arun Raghavan *, Marios Papaefthymiou +, Kevin P. Pipe +#, Thomas F. Wenisch +, Milo M. K.
Optimising Data Centre Power Planning and Managing Change in Data Centres - 28th November Cirencester.
Utility-Function-Driven Energy- Efficient Cooling in Data Centers Authors: Rajarshi Das, Jeffrey Kephart, Jonathan Lenchner, Hendrik Hamamn IBM Thomas.
Cloud Computing Energy efficient cloud computing Keke Chen.
The impacts of hourly variations of large scale wind power production in the Nordic countries on the system regulation needs Hannele Holttinen.
Sustainability Advocates Program New Advocates Training April 7, 2009 ENERGY AT NYU.
Jennifer Rexford Fall 2010 (TTh 1:30-2:50 in COS 302) COS 561: Advanced Computer Networks Energy.
© 2013 The SmartenIT Consortium 1 Commercial in Confidence Game Theoretic approach to energy efficiency Mateusz Wielgosz, Krzysztof Wajda, AGH Krakow Meeting,
Lecture 15: Air Primary Loops and Controls Material prepared by GARD Analytics, Inc. and University of Illinois at Urbana-Champaign under contract to the.
1 Automated Power Management Through Virtualization Anne Holler, VMware Anil Kapur, VMware.
Walter Binder University of Lugano, Switzerland Niranjan Suri IHMC, Florida, USA Green Computing: Energy Consumption Optimized Service Hosting.
Scale-out File Server Cluster Hyper-V Cluster Virtual Machines SMB3 Storage Network Fabric.
INTERCONTINENTAL HOTELS GROUP Energy Star Audit.
Green Clouds – Power Consumption as a First Order Criterion Karsten Schwan, Sudhakar Yalamanchili, Ada Gavrilovska, Hrishikesh Amur, Bhavani Krishnan,
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