What do you understand by cloud computing? Explain the characteristics of cloud computing.

2 years ago
Cloud Computing

“Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.”

Although this widely-adopted description of what makes a cloud computing solution is very valuable, it is not very tangible or easy to understand. So let’s dive a little deeper into cloud computing and why it’s different than just visualization alone, which is commonly mistaken to be cloud computing as well.

The following image shows that cloud computing is composed of five essential characteristics, three deployment models, and four service models as shown in the following figure:

               

Let’s look a bit closer at each of the characteristics, service models, and deployment models in the next sections.

Five essential characteristics of cloud computing

The special publication includes the five essential characteristics of cloud computing:

  1. On-demand self-service: A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider.
  2. Broad network access: Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops and workstations).
  3. Resource pooling: The provider's computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state or datacenter). Examples of resources include storage, processing, memory and network bandwidth.
  4. Rapid elasticity: Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be appropriated in any quantity at any time.
  5. Measured service: Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth and active user accounts). Resource usage can be monitored, controlled and reported, providing transparency for the provider and consumer.
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Dipti KC
Dec 18, 2022
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