Virtualization becomes the trend in the cloud computing era

IT departments often need to predict storage life expectancy based on data capacity and performance requirements. A high forecast will lead to excessive up-front input and operating costs, and low forecasts will result in a subsequent high cost and intermittent escalation of the dating. And each update will result in a complex data migration and additional costs of purchasing software licenses.

Limitations of traditional storage scenarios

Traditional systems that have been widely deployed over the past 20 years have not been able to deliver storage flexibility and low-cost scalability, and thus are unable to meet changing enterprise requirements and adapt to rapid data growth. IT departments often need to predict storage life expectancy based on data capacity and performance requirements. A high forecast will lead to excessive up-front input and operating costs, and low forecasts will result in a subsequent high cost and intermittent escalation of the dating. And each update will result in a complex data migration and additional costs of purchasing software licenses.

Traditional SAN environments cannot effectively create multiple tiers of storage, and they require extensive human analysis and intervention to implement data migration in different tiers of storage. This not only increases costs, but also produces errors that result in application interruptions. In addition, while some traditional unified solutions create storage hierarchies, they cannot effectively map data to appropriate storage files, requiring significant human intervention to achieve data migration within the SAN.

Scaling is also a challenge for traditional unified storage solutions. These solutions have fixed storage capacity and performance limits and require IT departments to implement box-scale scaling to cope with data growth and improve performance. Scalable NAS solutions have long been slow to progress. Because NAS platforms employ sophisticated, outdated software, it is difficult for vendors to provide an outward-scalable, efficient architecture. As a result, enterprises using NAS solutions will face complex migrations when they try to expand.

The cloud era calls for intelligent storage

In the era of cloud computing, virtualization has become a trend. Customers, shareholders, employees, and partners want to be able to get information on any device anytime, anywhere. Whether from telecommunications operators to medical services, or from technology suppliers to government agencies, in the control of costs, to achieve their expected goals, and maintain the advantages in the competition, enterprises will face great pressure.

Data is becoming more and more important in enterprise development and competition, and the explosive growth of data volumes complicates data management. How to save the generated data, transmit it well and use it well? This requires an organic combination of future IT infrastructure and data-processing applications, an intelligent data management system and end-to-end IT solutions to flexibly respond to the dynamic requirements of the business layer.

Intelligent data storage plays a more and more prominent role in it, and the full use of data storage is critical to creating efficient enterprises in a data-driven environment.

Mobile data architecture leads to storage intelligence

In response to the drawbacks of traditional storage, many storage innovation technologies have been created and increasingly mainstream in the last 10 years, based on the customer's real needs, with streamlined configuration, thin snapshots, streamlined replication, automated tiering, data deduplication, and compression. Some of the advanced infrastructure and patterns represented by Dell's mobile data architecture have also emerged, raising the efficiency and agility of dynamic storage to a whole new level. The design principle of mobile data architecture, which is based on customer demand orientation, also reflects the future-oriented storage concept: Shifting from traditional storage without flexibility to a new generation of dynamic data centers.

Information is the "lifeblood" of the IT infrastructure, information comes from data, and data can only truly reflect its value by refining it into useful information. The mobile data architecture allows information to be readily available, ubiquitous, and intelligently interoperable with a variety of business processes to reduce costs associated with enterprise storage, save time, and reduce risk.

A storage system built on a mobile data architecture, such as Dell Compellent,equallogic, can proactively and intelligently manage data, and expand indefinitely, enabling businesses to better respond to changes while Minimizing the cumulative capital expenditure as a result of capacity increases, its specific characteristics are mainly as follows.

--with innovative technologies such as data compression, data deduplication and automatic layering, the mobile data architecture will help enterprises improve data storage efficiency.

--Save management time. Increase the productivity of IT staff by deploying mobile data architectures.

-Leverage a mobile data architecture, upgrade without downtime, purchase on demand based on current conditions, and take full advantage of existing storage, improve efficiency, and reduce costs as your business progresses.

--The mobile data architecture enables storage investment to meet future needs through automated tiering technology, which in turn focuses more on the business when considering storage.

-Leveraging automated tiering and load balancing technologies, the mobile data architecture migrates data to the best storage location, helping to improve storage performance and disk utilization, speed information access, and more time into technology innovation.

-by adjusting storage at the core of the data center based on servers and networks, the mobile data architecture is designed to improve end-to-end it efficiency between business-critical applications, virtualization and virtual desktops, operating systems, servers, networks, and storage tiers.

The core concept of a mobile data architecture is to maintain business continuity and reliability and to improve data availability through failover capabilities such as redundant hardware components, thin snapshots, and remote replication. The architecture is also able to meet business requirements as much as possible by defining and delivering security, business continuity, and disaster recovery levels.

--work in the way promised. With a wealth of storage knowledge and industry-leading support tools to deliver services that are superior to traditional support, integrate proactive processes, expertise, and customized support for a single customer environment to ensure that each customer is serviced satisfactorily.

(Responsible editor: Schpeppen)