INDUSTRY
Cluster Resources to Present at 9th LCI International Conference
Douglas Wightman, Director of Software Engineering at Cluster Resources, Inc., will present a technical session on Moab’s Energy-Saving and Green Computing Solutions for Data Centers and HPC Environments at the 9th LCI International Conference on High-Performance Clustered Computing, to be held at the National Center for Supercomputing Applications, University of Illinois, Urbana, Illinois, April 29 through May 1, 2008. 
Computing center power and cooling costs have more than doubled in the last five years. Organizations have expanded the size of their physical facilities, increased IT power supply, and implemented numerous other stopgap measures to meet their growing demands, but have not effectively implemented measures to reduce power consumption. The quest for energy efficiency is now global and pervasive. Green IT is as much a business strategy as it is a corporate responsibility, and organizations are working hard to find viable, quantifiable power management policies for computing equipment. Moab could be the answer you are looking for. Mr. Wightman will explain how to use Moab’s scheduling power to adapt your environment to meet specific objectives and minimize the environmental impact of your computing system. He will cover the core technology, provide examples of the variety of areas in which it can apply, and offer specific details for achieving green computing/power savings in HPC or Data Centers.
Specific topics will include Power Management with Moab; Thermal Balancing and Termperature-aware Scheduling; Virtualization and Workload Packing; and Tracking, Monitoring and Reporting. While green computing / power savings intelligently schedules the environment to optimize power savings, this same concept can be employed to optimize use of operating environments. With the dynamic multi-OS hybrid cluster, you can change a node’s operating system on the fly to match the needs of your workload; Moab can then manipulate, grow and shrink allocated resources in order to meet service level targets. Moab optimally determines when the OS mix should be modified based upon defined policies and service level agreements as well as current and projected workload. When the specified conditions are met, Moab triggers the OS change using a site’s preferred OS-modification technology. The Moab Hybrid Cluster can be applied to both new and existing clusters to help yield maximum hardware utilization and ROI. Join Mr. Wightman at 1:30pm on Tuesday, April 29th.
Computing center power and cooling costs have more than doubled in the last five years. Organizations have expanded the size of their physical facilities, increased IT power supply, and implemented numerous other stopgap measures to meet their growing demands, but have not effectively implemented measures to reduce power consumption. The quest for energy efficiency is now global and pervasive. Green IT is as much a business strategy as it is a corporate responsibility, and organizations are working hard to find viable, quantifiable power management policies for computing equipment. Moab could be the answer you are looking for. Mr. Wightman will explain how to use Moab’s scheduling power to adapt your environment to meet specific objectives and minimize the environmental impact of your computing system. He will cover the core technology, provide examples of the variety of areas in which it can apply, and offer specific details for achieving green computing/power savings in HPC or Data Centers.
Specific topics will include Power Management with Moab; Thermal Balancing and Termperature-aware Scheduling; Virtualization and Workload Packing; and Tracking, Monitoring and Reporting. While green computing / power savings intelligently schedules the environment to optimize power savings, this same concept can be employed to optimize use of operating environments. With the dynamic multi-OS hybrid cluster, you can change a node’s operating system on the fly to match the needs of your workload; Moab can then manipulate, grow and shrink allocated resources in order to meet service level targets. Moab optimally determines when the OS mix should be modified based upon defined policies and service level agreements as well as current and projected workload. When the specified conditions are met, Moab triggers the OS change using a site’s preferred OS-modification technology. The Moab Hybrid Cluster can be applied to both new and existing clusters to help yield maximum hardware utilization and ROI. Join Mr. Wightman at 1:30pm on Tuesday, April 29th. 
How to resolve AdBlock issue?