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In order to develop a data center power efficiency index, we built a test bed of a data center and measured power components and environmental variables in some detail, including the power consumption and temperature of each node, rack and air conditioning unit, as well as load on the CPU, Disk I/O and the network. In these measurements we found that there was a significant imbalance of CPU temperatures...
Heat emission and temperature control in an electronic device is known to be highly correlated to power consumption as well as to equipment's reliability. Within this context, this paper discusses a possible solution to restrict processing component's heat emission in FPGA-based system (e.g., Cognitive Radio (CR) equipment). It also describes the implementation, on reconfigurable FPGA based circuit,...
Cooling power occupies large portion of power consumption in a Data Center. Improving efficiency of cooling is one of the most efficient ways to reduce power consumption in a Data Center. However it is not obvious how we can find out sufficient but not too much operation of cooling facility. In this paper, we measure temperature of racks, servers and processors and power consumption of IT equipment...
Virtual Machine (VM) migration is one of the most common techniques used to alleviate thermal anomalies (i.e., hotspots) in cloud datacenter's servers of by reducing the load and, therefore, decreasing the server utilization. However, there are other techniques such as voltage scaling that also can be applied to reduce the temperature of the servers in datacenters. Because no single technique is the...
We describe and evaluate two new, independently-applicable power reduction techniques for power management on processors that support dynamic voltage and frequency scaling (DVFS): user-driven frequency scaling (UDFS) and process-driven voltage scaling (PDVS). In PDVS, a CPU-customized profile is derived offline that encodes the minimum voltage needed to achieve stability at each combination of CPU...
On-chip power density and temperature are rising exponentially with decreasing feature sizes. This alarming trend calls for temperature management at every level of system design. In this paper, we propose task sequencing as a powerful and complimentary mechanism to voltage scaling in improving the thermal profile of an embedded system executing a set of periodic heterogenous tasks under timing constraints...
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