Towards Green Aware Computing at Indiana University

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Towards Green Aware Computing at Indiana University Gregor von Laszewski laszewski@gmail.com Indiana University Pervasive Technology Institute 11/28/2018 Gregor von Laszewski, laszewski@gmail.com

Gregor von Laszewski, laszewski@gmail.com What is Green IT? Green IT also referred as Green computing is a study and practice of using computing resources in an efficient manner such that its impact on the environment is as less hazardous as possible. least amount of hazardous materials are used computing resources are used efficiently in terms of energy and to promote recyclability http://en.wikipedia.org/wiki/Green_computing 11/28/2018 Gregor von Laszewski, laszewski@gmail.com

Gregor von Laszewski, laszewski@gmail.com Motivation Cost: A supercomputer with 360-Tflops with conventional processors requires 20 MW to operate, which is approximately equal to the sum of 22,000 US households power consumption Servers consume 0.5 percent of the world’s total electricity usage Energy usage will quadruple by 2020 The total estimated energy bill for data centers in 2010 is $11.5 billion Reliability: Every 10C increase of temperature leads to a doubling of the system failure rate Environment: A typical desktop computer consumes 200-300W of power This results in emission of about 220Kg of CO2/annum Data Centers produce 170 million metric tons of CO2 worldwide currently per year 670 million metric tons of CO2 are expected to be emitted by data centers worldwide annually by 2020 Utilization 32 percent of all servers are running at or below 3 percent peak and average utilizations, wasting energy spinning and cooling, and doing virtually no work. 11/28/2018 Gregor von Laszewski, laszewski@gmail.com

A Typical Google Search Google spends about 0.0003 kWh per search 1 kilo-watt-hour (kWh) of electricity = 7.12 x 10-4 metric tons CO2 = 0.712 kg or 712g of CO2 => 213mg CO2 emitted The number of Google searches worldwide amounts to 200-500 million per day. total carbon emitted per day: = 500 million x 0.000213 kg per search = 106500kg or 106.5 metric ton Source: http://prsmruti.rediffiland.com/blogs/2009/01/19/How-much-cabondioxide-CO2-emitted.html ref: http://www.globus.org/grid_software/security/voms.php – globus alliance ... basic definition http://vdt.cs.wisc.edu/components/voms.html – virtual data toolkit (osg) – grid middleware http://edg-wp2.web.cern.ch/edg-wp2/security/voms/voms.html – (datagrid) 11/28/2018 Gregor von Laszewski, laszewski@gmail.com

Where is power used in Data Centers? Data center uses large amount of electricity for 3 main components: IT Equipment Cooling Power Delivery Power Usage Effectiveness (PUE) PUE = Total Facility Power/IT Equipment Power 11/28/2018 Gregor von Laszewski, laszewski@gmail.com

Result Evaluate Metrics carefully A Datacenter with PUE close to 1 does not mean it produces the fewest CO2 11/28/2018 Gregor von Laszewski, laszewski@gmail.com

Gregor von Laszewski, laszewski@gmail.com So what can we do? 11/28/2018 Gregor von Laszewski, laszewski@gmail.com

Gregor von Laszewski, laszewski@gmail.com GreenIT Taxonomy We are actively developing a Taxonomy Helps assessing where to focus research activities Will be resulting in What to Monitor? What Software? Which Services? What to Optimize? At what cost ($,CO2,perf)? 11/28/2018 Gregor von Laszewski, laszewski@gmail.com

Gregor von Laszewski, laszewski@gmail.com Green Aware Computing (Metrics) People Education Policies Building HVAC Rack design Scheduling Shutdown Migration GreenSaaS/SaaI Processor Disk GPGPU Hardware Software Behavior Environment 11/28/2018 Gregor von Laszewski, laszewski@gmail.com

Research methodology Performance metrics Resource operation Green Application support environment Performance metrics Power consumption, CO2, … Resource operation Virtual machine migration Smart cooling system operation Server consolidation & power management “Green” infrastructure Low power & high density computing resource Virtualized infrastructure “Green” service & middleware Auditing & insertion system Power aware task scheduling Temperature aware workload placement “Green” application support environment SDKs and APIs for energy aware programming Interfaces for “green” performance tuning Green service & middleware Metrics Operation Green Infrastructure

Gregor von Laszewski, laszewski@gmail.com END 11/28/2018 Gregor von Laszewski, laszewski@gmail.com