What Is a Characteristic of Cloud Computing Brainly?

There are many characteristics of cloud computing, but one of the most important is its scalability. This means that users can scale up or down their use of cloud services as needed, without having to make a large upfront investment. This makes cloud computing very flexible and cost-effective.

Other important characteristics of cloud computing include its elasticity, which allows users to quickly provision or de-provision resources as needed; its ability to provide on-demand self-service; and its pay-as-you-go pricing model, which can help save money on IT costs.

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Cloud computing is a term used to describe a variety of different computer services that are all delivered over the internet. These services include things like online storage, backup, and recovery, as well as business productivity applications and software development platforms.

With cloud computing, businesses and individuals can access these services on a pay-as-you-go basis, which can save them a lot of money compared to traditional on-premises solutions. One of the main benefits of cloud computing is scalability, which means that businesses can easily scale up or down their usage of these services as their needs change.

Another benefit of cloud computing is that it can help businesses to be more agile and responsive to change. For example, if a business needs to add a new application quickly, it can do so without having to provision and set up new hardware.

Cloud computing also offers a high level of security, as the data is stored in multiple secure data centers around the world. This redundancy means that if one data center is compromised, the data will still be safe in another location.

Overall, cloud computing can offer a number of benefits to businesses and individuals, including cost savings, scalability, and security.

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Cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.

The National Institute of Standards and Technology (NIST) defines cloud computing as “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.”

This definition identifies five essential characteristics of cloud computing:

Essential characteristics:

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 thin or thick clients.

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 data center). Examples of resources include storage, processing, memory, and network bandwidth.

4. Rapid elasticity: Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale up and rapidly released to quickly scale down. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased 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 both the provider and consumer of the utilized service.

In addition to these essential characteristics, cloud computing services often have the following attributes:

1. User interface and API access: Services are accessible via a graphical user interface (GUI) and

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Technological advancements in recent years have made it possible for organizations to adopt a new style of computing, known as cloud computing. This type of computing allows for a great deal of flexibility and scalability, as well as a pay-as-you-go model that can save organizations money. In order to take advantage of cloud computing, organizations must first understand the key characteristics of this type of computing.

The first characteristic of cloud computing is that it is based on the use of virtualization. This means that instead of each organization having its own physical servers, they can instead use virtual servers that are provided by the cloud provider. This can help to savespace and reduce the need for expensive hardware.

Another key characteristic of cloud computing is that it is scalable. This means that organizations can easily add or remove capacity as needed. This can be a great advantage for organizations that have fluctuating needs. For example, an organization might only need extra capacity during certain times of the year. With cloud computing, they can easily add capacity when needed and then remove it when it is no longer needed, without having to invest in extra hardware.

Lastly, cloud computing is typically delivered as a service. This means that organizations do not need to purchase and manage the hardware and software themselves. Instead, they can simply subscribe to the service and access it as needed. This can save considerable time and effort, as well as reduce the need for specialized personnel.

These are just a few of the key characteristics of cloud computing. In order to fully take advantage of this type of computing, organizations must understand all of the characteristics and how they can be used to benefit the organization.

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Traditional computing is defined as a model where applications and data are stored on a local device or server. Cloud computing, on the other hand, is a model where applications and data are stored on a remote server accessed via the internet.

The primary difference between cloud computing and traditional computing is in the location of the data and applications. With traditional computing, data and applications are stored locally, on the same device that is being used to access them. With cloud computing, data and applications are stored on a remote server, and are accessed via the internet.

There are a number of advantages and disadvantages to both models. One advantage of traditional computing is that it can be faster and more reliable, since the data and applications are stored on the same device. One disadvantage is that it can be more expensive, since you need to purchase and maintain the local device or server.

One advantage of cloud computing is that it can be more cost-effective, since you do not need to purchase or maintain a local device or server. One disadvantage is that it can be less reliable, since the data and applications are stored on a remote server.

Another difference between cloud computing and traditional computing is in the way that they are delivered. Traditional computing is delivered via a local area network (LAN), while cloud computing is delivered via the internet. This means that cloud computing can be delivered to any device with an internet connection, while traditional computing requires a physical connection to the LAN.

The decision of whether to use cloud computing or traditional computing will depend on a number of factors, including the specific needs of the business or individual, the costs, and the level of security required.

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A Brief History of Cloud Computing

The term “cloud computing” is only about a decade old, but the concept it represents is as old as computing itself. The idea of accessing computing resources “in the cloud” – that is, from a remote location over a network – dates back to the early days of mainframe computing, when time-sharing was first introduced.

With time-sharing, instead of each user having their own dedicated computer, they shared access to a single, large computer. This allowed many people to use the same computer at the same time, which was a major breakthrough at the time. It also laid the groundwork for today’s cloud computing, which is essentially time-sharing on a much larger scale.

The first time-sharing systems were developed in the 1960s, and by the 1970s, they were in widespread use. However, time-sharing had two major limitations: it was expensive, and it required users to be physically close to the computer they were using.

The first limitation – expense – was due to the fact that time-sharing systems were essentially mainframe computers, which were very expensive to buy and maintain. The second limitation – the need for users to be physically close to the computer – was due to the fact that the early time-sharing systems used dumb terminals. These were essentially keyboards and monitors that were connected to the mainframe computer via a network.

The advent of the personal computer in the 1980s changed all of that. Personal computers were much less expensive than mainframes, and they didn’t require a network connection to work. This meant that users could access computing resources from anywhere, which laid the groundwork for today’s cloud computing.

The first true “cloud computing” services began appearing in the late 1990s, with the advent of web-based email. Hotmail, which was launched in 1996, was the first major web-based email service. It was quickly followed by Yahoo! Mail and then Google Gmail.

With web-based email, users could access their email from any computer with an internet connection. This was a major breakthrough, as it meant that users could check their email from anywhere in the world.

The next major breakthrough for cloud computing came in 2002, with the launch of Salesforce.com. Salesforce.com is a web-based service that allows businesses to manage their sales

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There are four major players in the cloud computing market: Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and IBM Cloud.

AWS is the market leader, with a 34% share of the public cloud market. AWS offers a comprehensive set of cloud services, including compute, storage, databases, and more. AWS is also the most popular choice for deploying containers and serverless applications.

GCP is the second-largest player in the public cloud market, with a 15% share. GCP offers a wide range of cloud services, including compute, storage, databases, networking, and more. GCP is also a popular choice for machine learning and artificial intelligence workloads.

Azure is the third-largest player in the public cloud market, with a 14% share. Azure offers a broad set of cloud services, including compute, storage, databases, networking, and more. Azure is also a popular choice for deploying Windows-based applications.

IBM Cloud is the fourth-largest player in the public cloud market, with a 10% share. IBM Cloud offers a comprehensive set of cloud services, including compute, storage, databases, and more. IBM is also a popular choice for enterprise workloads.

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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). This cloud model is composed of five essential characteristics, three service models, and four deployment models.

Essential characteristics: - 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. - 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, laptops, and PDAs). - 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 data center). Examples of resources include storage, processing, memory, and network bandwidth. - 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. - 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). Cloud systems also typically provide consumers with a self-service portal through which they can provision resources and monitor cloud usage.

Service models: - Cloud Software as a Service (SaaS): The capability provided to the consumer is to use the provider’s applications running on a cloud infrastructure. The applications are accessible from various client devices through a thin client interface such as a web browser (e.g., web-based email). The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, storage, or even individual application capabilities, with the possible exception of limited user-specific application configuration settings. - Cloud Platform as a Service (Paa

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The challenges of cloud computing are numerous and varied. Perhaps the most significant challenge is security. When data and applications are stored in the cloud, they are more vulnerable to attack. Hackers can gain access to data more easily, and they can also launch denial of service attacks that can take down cloud-based systems. Another challenge is reliability. Cloud providers can experience outages that affect their customers. These outages can be caused by a number of factors, including hardware failure, software bugs, and network problems. Another challenge is compatibility. Some applications may not work well with cloud-based systems, or they may not be able to take advantage of all the features of the cloud. Finally, cost can be a challenge. Cloud providers typically charge by the amount of data and bandwidth used, so companies can end up paying more than they would if they ran their own servers.

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The future of cloud computing is shrouded in potential but fraught with uncertainty. For all the advantages that cloud computing offers – flexibility, scalability, cost-savings – there are challenges that could limit its growth or even lead to its demise.

The biggest challenge facing cloud computing is security. As more and more businesses and individuals store sensitive data in the cloud, the chances of that data being hacked or compromised grow exponentially. In addition, the reliance on the internet to access cloud-based data makes cloud computing vulnerable to outages and service disruptions.

Another challenge facing cloud computing is its environmental impact. The energy required to power and cool massive data centers has led to concerns about the sustainability of cloud computing.

Finally, the very nature of cloud computing – the reliance on third-party providers – could be its undoing. If those providers become unable or unwilling to meet the needs of their customers, the future of cloud computing could be in jeopardy.

Despite these challenges, the future of cloud computing remains bright. The advantages it offers are too great to ignore, and the demand for cloud-based services is only going to increase in the years to come. With the right investments in security and sustainability, cloud computing could become the norm for businesses and individuals around the world.

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