With different data centers come very different needs and network architecture types. The varying network architectures share the want for higher speed, performance, efficiency and scalability. Greater technologies, such as IOT, automation, or AI, alongside our use of social media, and streaming technologies, will continually put pressure on data centers to innovate and grow as we continue to move into a more connected world.
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Essentially, a cloud data service is a remote version of a data center – located somewhere away from your company's physical premises – that lets you access your data through the internet. A data center traditionally refers to server hardware on your premises to store and access data through your local network.
Co-location has long been a component of modern data center architectures. Instead of operating their own data center, more and more companies are using the services of co-location providers. If own cloud and hardware is operated on the premises of third parties, the demands on cloud security increase. Moreover, the offerings are frequently expanded and include platforms for operating hybrid infrastructures. Co-location data centers consist of one data center owner selling space, power and cooling to multiple enterprise and hyperscale customers in a specific location.
High performance computing
High-performance computing (HPC) is the use of super computers and parallel processing techniques for solving complex computational problems. HPC technology focuses on developing parallel processing algorithms and systems by incorporating both administration and parallel computational techniques.
Enterprise (Enterprise Hyperscale/Hyperscale)
An enterprise data center is a facility owned and operated by the company it supports and is often built on site but can be off site in certain cases also. May use external companies on initial fit-outs and network installation before being maintained internally. A Hyperscale data center is a facility owned and operated by the company it supports. Hyperscale computing is necessary for cloud and big data storage.
Edge data center
Edge data centers will support IoT, autonomous vehicles and move content closer to users, with 5G networks supporting much higher data transport requirements. Edge data centers are smaller facilities located close to the populations they serve that deliver cloud computing resources and cached content to end users. With edge computing, IT infrastructure is moved into specialised facilities known as edge data centres that are located either on-premise, or at locations near to end-users.