Energy Aware Grid

Energy Aware Grid - Energy Aware Grid: Global Workload...

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Chandrakant Patel, Ratnesh Sharma, Cullen Bash, Sven Graupner HP Laboratories Palo Alto Energy Aware Grid: Global Workload Placement based on Energy Efficiency
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Grid Computing New paradigm in distributed and pervasive computing for scientific as well as commercial applications. Based on coordinated resource sharing and problem solving in dynamic, multi institutional virtual organizations.
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Energy Aware Grid Objective: Build an energy aware grid. Problem: Thermal and energy management issues due to aggregation of computing, networking and storage hardware. Solution: Data center energy efficiency coefficients : Workload placement decisions will be made across the Grid, based on these coefficients. Provide a global utility infrastructure explicitly incorporating energy efficiency and thermal management among data centers.
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Cooling Issues Example : A data center, with 1000 racks, approximately 25,000 square feet. Requires 10 MW of power for the computing infrastructure. An additional 5 MW would be required to remove the dissipated heat. At $100/MWh, cooling would cost $4 million per annum.
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Data Center thermo-mechanical architecture • Rows of racks with multiple air-cooled hardware. Presence of multiple air-conditioning units. Higher airflow rates required due to “slim servers” and “blade servers”.
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Cooling: Cooling at Chip Level – 10% of total power Cooling at Data Center Level 50% of the total power Additional thermodynamic work for cooling. Non-uniform temperature and airflow patterns. The data center has no well defined boundaries. No control mechanism to dissipate
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Energy Aware Grid - Energy Aware Grid: Global Workload...

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