Cloud data transfer is necessary for adding knowledge in general scope and equipping you with proper information before selecting cloud service providers. The element is divided into three core patterns that determine data-transfer performance.
The first one is from enterprise to cloud. This is how the data transfer roughly happens. Information is transferred via the open Internet from servers in the enterprise to public cloud computing providers. To make the process smoother, try avoiding transferring large chunks of data from the enterprise to the public cloud computing provider.
The second one is mobile-to-cloud data transfer. This segment isn’t as complicated as the first one. This owes to business general attribute that doesn’t typically place data on mobile devices, such as smartphones, tablets, netbooks and others. Oftentimes, they save most of the data in the cloud. Mobile device usually accommodates for data transfer required for an operation. This what makes data transfer is not a big deal.
The last one is cloud-to-cloud data transfer, which can be either intracloud or intercloud transfer of data. Amazon Web Services serves as the good example for intracloud transfer of data while transferring between Amazon Web Services and Rackspace performs best example for intercloud transfer of data.
Read also: Reaping Maximum Benefits of Big Data by Applying Cloud Computing
There are two factors that influence intracloud data-transfer performance. It is highly influenced by the size of the pipe within the cloud service. The other factor refers to performance-enhancing services, such as cache services that are possibly in use. You’ll mostly find intracloud data transfer works between tenants, virtual machines, applications and data stores.
On the other hand, intercloud one requires more complicated process because it has to cope with cloud services that don’t possibly resemble a simple data exchange.
As you understand the concept for each of the patterns, you’ll be better equipped with proper knowledge. It’s worthy of studying cloud data transfer from potential cloud service providers before coming to one.
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