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Data centers concern not just energy usage, but also other important overall considerations such as the actual computational work, the energy efficiency and the performance of servers. The server, as one of the key ingredients of a data center, plays an increasingly crucial role in contributing to the overall energy use, especially in cases where the efficiency of the infrastructure has been optimized...
This paper introduced one optimized proactive cooling management approach based on power variation trend analysis. Through analyzing the data center historical power telemetries, the power predictor is able to predicate power variation with 5– 15 minutes granularity. The cooling controller uses the observed heat information and estimated thermal variation trend to drive CRAC to manage temperature...
Data center, as backbone of cloud computing, has been rapidly developing and evolving. Server with high reliability, as one of key infrastructure ingredients for computing, storage and networking segments, is obviously foremost footstone to data center robustness. Based on data collection and failure analysis from Baidu infrastructure maintenance group, 78% of server system failure comes from hard...
In today's data center, in order to achieve higher density and better energy efficiency, the traditional server systems with dedicated fans and power supply units are evolving to the Rack Scale System with shared cooling and shared power supply at rack level, some examples are Open Compute Project and China Scorpio Rack. This evolution brings the challenges of how to efficiently control the rack cooling...
When aging fans in server chassis wear out, they slow down and circulate less air, eventually causing overheating condition and unexpected thermal shutdown. We propose a novel approach to predictive analysis of fan failures before the significant wear-out or slow-down by modeling the correlation of the speed measurements of multiple fans. We present the empirical result that the speed measurements...
Rapid growth of internet services and mobile devices has led to more and larger cloud data centers. The hyper scale cloud data center consumes enormous amount of electricity and cause pressure to operation cost and infrastructure management. The industry has made great progress in improving power usage effectiveness through innovation and infrastructure upgrade. Recent research is focusing on dynamically...
The advent of the big data era, the rapid development of mobile internet, and the rising demand of cloud computing services require increasingly more compute capability from their data center. This compute increase will most likely come from higher rack and room power densities or even construction of new Internet data centers. But an increase in a data center's business-critical IT equipment (servers,...
In recent years, the internet services industry has been developing rapidly. Accordingly, the demands for compute and storage capacity continue to increase and internet data centers (IDCs) are consuming more power than ever before to provide this capacity. With large scale power usage comes the large price tag of paying for that power. With growth trends increasing and development expanding, IDC owners...
Based on the Forest & Sullivan market survey. Data centers across the globe now consume around 100GWh of power and this number is expected to increase by 30% by 2016. With growth trends increasing and development expanding, IDC owners realize that small improvements in efficiency, from architecture design to daily operations, will yield large cost reductions over time. Cooling energy is a significant...
Prior studies have demonstrated component silicon reliability sensitivity to datacenter cooling strategies that include containment and non-containment cooling with return side setpointing. In this work, the evaluations were compared to supply side setpointing to understand the optimal approach to datacenter cooling. This was accomplished through the development of predictive models of Tinlet as a...
In recent years, the demand for compute capability has increased rapidly, and data centers all over the world are consuming much more power than before. Data centers across the globe consume around 100 GWh and it is expected to increase by 30% by 2016. In 2012, the increase in data center energy consumption in the United States and China was 800MWh and 500MWh respectively, based on Forest & Sullivan...
In a data center environment, the temperature that a chip experiences is an important parameter determining its reliability. A high operating temperature can cause it to wearout prematurely. A low temperature results in additional cooling costs to operate the data center. In typical data center operation, there arises a distribution of component temperatures that are sensitive to the specific cooling...
In a typical data center, a significant portion of the total power consumption is spent on data center cooling. This paper addresses the problem of cooling inefficiency resulting from airflow mismatch between what is required by the IT equipment vs. what is supplied by the facility fans. The paper proposes two new virtual sensors for a server; volumetric airflow and outlet temperature sensor. A method...
In a typical datacenter, almost 40% of the total power consumption is spent on datacenter cooling. In addition, the capital expenditure costs for the cooling infrastructure are also significant. Large Internet Portal Datacenters are looking at every possible way to reduce the cooling cost. One of the emerging trends in the industry is to move to higher ambient datacenter operation. Some datacenter...
Advances in server technology have resulted in the cost of acquiring server equipment trending down, while economies of scale in data centers have significantly reduced the cost of labor. This leaves the cost of the energy as the next target for optimization. Energy costs are driven by operating the IT equipment, the switchgear that provides uninterrupted power to the equipment, and in cooling the...
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