Many analysts now believe that cloud systems in enterprise data centers will eventually die or weaken. However, new industry data indicates that cloud computing will make data centers more busy than ever.
Data center load aggravated cloud computing diversion "half of the country"
Cisco has released its first Global Cloud Index and made it clear that it doesn't matter if you are using applications in your own or elsewhere' data centers, as these applications will be delivered through the cloud. The organization's data center will be completely moved to cloud computing, and in the associated world, enterprises will have as many opportunities outside of the firewall as cloud providers, for all enterprises that maintain their own data centers and administrators running those data centers. Both are cause for concern.
Cisco's latest index is based on a series of forecasts of the growth of global data centers and cloud-based IP traffic. Vendors expect that global data center traffic, whether or not for cloud computing, will grow fourfold from 2010 to 2015, reaching 4.8 megabytes per year, and will grow at 402 octets per month by 2015.
During the forecast period, global cloud data center traffic will increase by 12 times, reaching one-third of all data center traffic by 2015. In addition, Cisco expects that more than half of the data center workload will be processed in the cloud.
Global cloud traffic will grow at a CAGR of 66%, with a rate of 133 exabytes per month and 1.6 terabytes by 2015.
Cisco believes that in two years, the workload in the cloud data center will exceed the amount in the traditional data center for the first time, accounting for 51%, and is expected to reach 57% by 2015.
What assumptions does Cisc o expect based on? Suppliers point out that virtualization technologies for converters and servers added to hardware and applications are a key metric for cloud computing.
This means that IT departments and business management need to recognize the role of ever-changing technologies within their organizations. IT is no longer just a report and a department that is doing nothing in the server room. Instead, it should evolve into a service. Supply brokers, expand their current market or transfer to a new market according to the needs of business development. The role of IT is to help companies determine if the services they need at the time are available in the organization's own IT resource network, or whether they can securely connect to the Internet.
Enterprise data centers are also likely to provide more services to a wider audience, such as partners, suppliers, current customers, or other users.
It's worth noting that there is not much explanation for the difference between public and private cloud data centers in Cisco's conclusions. The index is based on the assumption that most companies and their end users will use terminals and intermediate service providers. Computing technology and application resources. In addition, the large amount of cloud growth within the enterprise may be attributed to the increasing number of end users, such as consumers and enterprise users, who are looking to build new networks. These users who have access to applications and content at any time are in great demand. To a certain extent, it promotes the innovative development of cloud services. Cloud-based data centers can support more virtual machines than traditional data centers and the workload of each server.
Cloud computing and virtualization in the data center will be more busy than ever. Because of the sheer volume of information transfer and data transfer in applications, databases, backup sites, and processors that are processed in parallel, Cisco expects 76% of IP traffic to remain in the data center for three years, up from the current 77% level. Quite, as Cisco analysts report: Traditionally, one server runs a workload. However, as its computing power and virtualization continue to increase, the amount of work on each server is the same in the cloud architecture. The cloud economy, including server cost, scalability, scalability, and product lifecycle, facilitates job transfer between servers, whether in data centers in different geographies or within. Several workloads distributed between servers can typically support an end-user application, which can generate multiple data streams in or out of the data in addition to the end user.
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