Lieden to realize the benign management of data center power

Source: Internet
Author: User
Keywords Cloud computing data center energy-saving data center

As cloud computing and data centers flourish, related energy-saving power supply has also become the focus of attention, in order to meet the rapid development of information application needs, the relevant data centers increasingly complex, the various base stations of the computer room is increasing, cabinet density is also increasing, how to effectively enhance the cloud computing data Center power management, Many manufacturers in the industry have put forward many solutions, a lot of companies hope that through accurate, continuous power monitoring to grasp the core of the power problem, such as: find ways to reduce energy costs, effectively cooling the rack and optimize capacity, and want to obtain advanced remote switch switching and power ordering function. In order to realize the intelligent power management of data center successfully, it is a key to refine the electricity data. To virtualization as an example, which has a function is in the business trough, through the virtual machine migration, you can focus on a small number of servers, shut down the remaining physical machines, to achieve the greatest energy-saving effect. But in the concrete operation, need the data support. Without a clear understanding of the power consumed by each server, how can the corresponding http://www.aliyun.com/zixun/aggregation/12803.html "> Management strategy be developed?"

Zhou Ligung, a manager of the China Technology department at Raritan (Lieden), argues that the rapid development of energy consumption in data centers is not a normal result of industrial development, but is caused by unreasonable planning, design and use. Take refrigeration For example, cooling every 1W power consumption, at least can take away the heat generated by 3W IT equipment. But in the practical application, the excessive refrigeration is the widespread problem, the domestic most data center's pue is above 2.6, even then, the local hot spot causes the data center fault to occur frequently. To curb the rapid growth of power consumption, we need to have a clear understanding of the basic data, the more detailed the better. But in the past, data center power management is too extensive, data center pue too high, because there is no detailed power data support, it is difficult to find problems, not to mention targeted solutions. For the efficient management of the entire data center power supply, first of all to power the accuracy of the test paper, including the engine room, office area, intelligent air-conditioning, including some access control systems and so on the power consumption value, the test precision level higher the better, the United States force the product measurement data has reached the end of all equipment, and carry out continuous measurement, The first value is to be able to accurately understand the server and other equipment power consumption situation, can be used in the perspective of electricity more refined management indicators. It can also be used to analyze the load of the equipment, and to understand the health status of the power consumption of the core equipments. In addition, in the future expansion of the time, there will be an accurate electrical capacity forecast safety planning.

To make rational use of resources, a high level of power management is essential. Lieden's Intelligent PDU Series includes measuring sockets/switching sockets, measuring sockets and device metering PDUs, and online metering devices that provide rich and accurate power information for real-time KWH data at the billing level, as well as current, voltage, use of power supplies and present power. These gauges are very suitable for measuring electricity consumption, and to find out the improper use of power in the rack, and then, in conjunction with the powerful IQ energy management software, can provide centralized monitoring, easy to shut down the operating system, socket control and thermal and energy analysis functions to generate relevant information, including each rack kWh, each customer, department or application of energy costs, balance capacity of the line load, rack socket temperature or even carbon footprint, with these precise "details", the user's intelligent electricity consumption, power capacity and cost management will not become source roots.

(Author: anon Editor: Xu Jinyang)
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