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What are the different data centers deployed for cloud computing?

Data Centers in Cloud Computing

In cloud computing, data centers can have different terminologies and can be bifurcated differently. Based on how advance the technology is, cloud-based data center can be classified into the following types, or more appropriately tiers:

Tier I Data Center: This is the simplest form of data center that can exist. It has just enough infra to keep it running. Tier I data centers are the simplest, cheapest and the most obsolete data center in existence today. Tier I can be as small as a closet and feature a single power line with no backup services

Tier II Data Center: The second tier sits just above 1st and is an improvement over its predecessor tier. The second-tier cloud data centre has multiple redundant components and backup power. It also features an improved cooling system.

Tier III Data Center: Is a more modern tier and has redundancy for every single component. Means, every component will have one backup working simultaneously. When either of the two - hardware and its backup hardware fails - the other takes on the operations of the failed hardware. Thus, such cloud-based data centers have the best up-time availability.

Tier IV Data Center: of all data centers in cloud computing, tier IV is the most advanced and so the most reliable. Like Tier IV it has backup for every component, even power lines and cooling system. The assembly is fully fault tolerant and can undergo maintenance while still in operation.

Cloud computing data centers can also undergo classification based on the services being deployed on it. A more comprehensive outline has been laid below.


What are the Different Data Centers Deployed for Cloud Computing?

Emergence of cloud computing technologies and the subsequent proliferation of cloud adoption due to availability of different cloud service models and delivery paradigms have resulted in development of modern data centers. These facilities have been designed to address the significantly data driven workloads and zero tolerance policy for quality, latency, and performance.

Cloud data centers cater to highly specific infrastructure needs for efficiently serving cloud consumers' needs. Naturally, data centers are considered as key attribute of cloud computing with special focus on flawless networks, content, and service just to name a few.

Data center infrastructure for cloud hosting services is rapidly evolving to face the challenges of power requirements of enterprise hardware and micro colocation needs of various enterprises.

Thanks to the proliferation of High Definition video content, Internet of Things, and massive data generation, it is projected that the internet traffic will be growing at the rate of 30 to 40 percent year on year. The bandwidth-intensive content consumption will result in need to establish data centers in Tier 2 cities in order to move content closer to end users. Growth of specialty data center will also be driven by need to manage backups, emails hosting, security, Database as a Service, CDN, and disaster recovery among others.

Cloud services will also boost emergence of Software Defined Data Centers that will have significant concentration of virtualized aspects. It is exclusively built for the cloud and is exclusively geared toward servicing modern applications. Software defined data centers are built for catering to modern enterprise that are planning for cloud adoption without incurring costs of major physical overhaul. These facilities will enable enterprises to benefit from outsourced IT features including Software as a Service or cloud-based services of Infrastructure as a Service.

In order to perform serious cloud computing, there is need to have massive data centers. These data centers are empowered by redundant internet connectivity, massive bank of batteries, and equally powerful cooling systems. These data centers are built to house thousands of servers.

There can be no two opinions about cloud's involvement in driving evolution of data center design. It is also resulting in significant impact on the consolidation of industry.

In view of this, Software Defined Data Centers are capable of addressing enterprise's cloud needs. These data centers are able to separate application layer from the layer of physical infrastructure to facilitate broad assortment of finicalities such as computing, managing, deployment, storage services, and many more business associated applications in cloud environment.


Is Colocation in Cloud Computing Achievable?

Colocation means the positioning of a server in the data center to engage resources for IT deployments. Technically, cloud and colocation are two different terms and an amalgamation of the two is unachievable, given the technology and service prevailing today. The difference between the two lies in the way data is stored. Cloud is a virtualization technology, whereas colocation makes use of physical dedicated severs.

Data placed in the cloud can be distributed anywhere in a pool of servers and correspond to no fixed address. Colocation, on the other hand, is a physical storage technology in a rented data center space.Since the two technologies are virtually opposite, server colocation in cloud computing is bogus and does not sound technically correct.

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Did We Miss Out on Something?

Relax, we have you covered. At Go4hosting, we go the extra mile to keep our customers satisfied. We are always looking out for opportunities to offer our customers “extra” with every service. Contact our technical helpdesk and we’d be more than happy to assist you with your Cloud hosting, Colocation Server, VPS hosting, dedicated Server or reseller hosting setup. Get in touch with us and we’d cover all your hosting needs, however bizarre they might be.

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