Eight energy-saving strategies for improving network efficiency and performance

Source: Internet
Author: User
Keywords disk storage system energy saving

According to a survey by IDC, global data volumes will swell rapidly over the next decade, with a combined growth rate of 50.6% a year. The so-called water can carry a boat, but also overturn. If companies can manage in the torrent of data, they tend to turn information into commercial power and create competitive advantage, otherwise they will be dragged down by the deluge of data, and the efficiency of operations is greatly compromised.

The easiest way for an enterprise to cope with growing and increasingly complex data management needs is to add more disks to the storage system. If so, the data center will be constrained by space, load and cooling infrastructure, and, more importantly, the power supply is limited resources. These constraints often hinder businesses from meeting the needs of their businesses.

Most of the existing energy-saving technologies do not take into account the main factors of the growth of power demand, only consider how to reduce the overall energy costs. There are more effective ways for companies to conserve energy and improve efficiency at the data center. Fast-growing energy consumption can be addressed by efficiently storing data and reducing the number of machines and disks. This strategy can not only reduce the complexity of the system, reduce costs, but also improve network efficiency and performance, so as to better respond to new business needs.

In fact, the "green storage" boom is rapidly sweeping the world, and successful cases are not uncommon. Aiso.net, a U.S. web hosting service provider with 15,000 customers worldwide, is a member of the Green Building Committee, the first and only public data center. With NetApp snapshot technology, it establishes a single data backup for multiple purposes, enabling backup systems to be used for compliance and asynchronous disaster recovery. In this way, the company can significantly reduce the reliance on the specified use of storage systems and related power requirements. Aiso. NET expects its new system infrastructure to save up to 80% of power.

Data Center energy consumption is a serious problem faced by enterprises, improve data management capabilities and storage efficiency, in addition to cost savings for enterprises, more important is to protect our planet more than a force to create a green world, protect the blue sky.

Eight Energy saving strategies

1. Consolidating servers and storage systems

The server itself consumes half of the energy in the datacenter, and the storage system is another big energy consumer. In fact, the dramatic increase in window data has resulted in a sharp increase in the number of Windows file servers and direct attached storage systems. As a result, you can increase energy efficiency by simply setting up a storage network, consolidating servers and storage systems, reducing the number of devices, and rapidly increasing the availability of energy in the data center.

2. Choose a high-capacity disk drive

A typical SATA disk drive can save about half the energy of a Fibre Channel (Fibre Channel) disk drive with the same capacity. At the same time, they can provide the highest storage density available for disk drives, further reducing energy consumption. Several SATA disks with disk repair and data protection technologies are becoming popular and are ideal for many business applications.

3. Reduce disk drive count to prevent disk failure

SATA disk drives have more data storage than Fibre Channel primary disk drives, but we cannot ignore data reliability. The current popular dual-band (dual-parity) RAID-DP can provide higher storage utilization and error tolerance, while repairing data for two failed disk drives.

4. Transfer data to a more efficient storage system

To ensure the most efficient use of storage resources, data can be transferred to the secondary storage system to reduce the load on primary storage. A perfect information Server can automatically transfer the data with lower access rate automatically from main memory to storage-efficient secondary storage system.

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