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data center, thermal management, workload placement The advent of Internet-based applications and their resulting multi-tier distributed architecture has changed the focus of design for large-scale Internet computing. Internet server applications execute in a horizontally scalable topology across hundreds or thousands of commodity servers in an Internet(More)
Recently, the demand for data center computing has surged, increasing the total energy footprint of data centers worldwide. Data centers typically comprise three subsystems: IT equipment provides services to customers; power infrastructure supports the IT and cooling equipment; and the cooling infrastructure removes heat generated by these subsystems. This(More)
—Data centers contain IT, power and cooling infras-tructures, each of which is typically managed independently. In this paper, we propose a holistic approach that couples the management of IT, power and cooling infrastructures to improve the efficiency of data center operations. Our approach considers application performance management, dynamic workload(More)
—This paper describes an approach for designing a power management plan that matches the supply of power with the demand for power in data centers. Power may come from the grid, from local renewable sources, and possibly from energy storage subsystems. The supply of renewable power is often time-varying in a manner that depends on the source that provides(More)
Reduction of resource consumption in data centers is becoming a growing concern for data center designers, operators and users. Accordingly, interest in the use of renewable energy to provide some portion of a data center's overall energy usage is also growing. One key concern is that the amount of renewable energy necessary to satisfy a typical data(More)
Commercial buildings are significant consumers of electricity. In this paper, we collect and analyze six weeks of data from 39 power meters in three buildings of a campus of a large company. We use an unsupervised anomaly detection technique based on a low-dimensional embedding to identify power saving opportunities. Further, to better manage resources such(More)
The environmental impact of data centers is significant and is growing rapidly. Servers alone in the US consumed 1.2% of the nation's energy in 2005, according to the EPA. In the following year, the EPA found that the cost of energy rose by 10%. However, there are many opportunities for greater efficiency through integrated design and management of data(More)
networking infrastructure is becoming a growing portion of the energy footprint in data centers as well as information technology in general. In this paper, we evaluate energy management strategies for network switches. We begin by performing a lifecycle assessment of existing switches in a data center, and find that the use phase of the lifecycle(More)
Data center costs for computer power and cooling are staggering. Because certain physical locations inside the data center are more efficient to cool than others, this suggests that allocating heavy computational workloads onto those servers that are in more efficient places might bring substantial savings. This simple idea raises two critical research(More)
With power having become a critical issue in the operation of data centers today, there has been an increased push towards the vision of " energy-proportional computing " , in which no power is used by idle systems, very low power is used by lightly loaded systems, and proportionately higher power at higher loads. Unfortunately, given the state of the art(More)