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Cloud computing metaphor: a group of network elements that provide services that do not need to be individually addressed or managed by users; rather, a set of equipment and software managed by tire suppliers can be considered an amorphous cloud.
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Is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power, without direct active user management.
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Large clouds often have functions distributed across multiple locations, each one a set of data. Cloud computing relies on resource sharing to achieve convergence and often uses a “pay as you go” model, which helps reduce capital costs, but can also lead to unexpected operational costs for users.
Proponents of public and hybrid clouds claim that cloud computing allows companies to avoid or reduce IT infrastructure costs. Proponents also claim that cloud computing allows enterprises to get their applications up and running faster, with better management and less maintenance, and that it allows IT teams to adjust resources to meet changing and unpredictable needs.
According to IDC, global spending on cloud computing services has reached $706 billion and is expected to reach $1.3 trillion by 2025.
While Gartner estimates that global public cloud services are expected to spend d-users will reach $ 600 billion in 2023.
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According to a McKinsey & Company report, cloud cost optimization levers and value-added business use cases are projected to account for more than $1 trillion in EBITDA for Fortune 500 companies by 2030.
By 2022, more than $1.3 billion in corporate IT spending is at risk of moving to the cloud, growing to nearly $1.8 billion in 2025, according to Gartner.
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The term cloud was used to refer to distributed computing platforms as early as 1993, when Apple spin-off General Magic and AT&T used it to describe their Telescript and Personal Link technologies (peach).
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In the April 1994 Wired feature “Bill and Andy’s Excellt Adventure II”, Andy Hertzfeld commented on Telescript, Geral Magic’s distributed programming language:
“The beauty of Telescript … is that now, instead of having a device to program, we have the wheel of the Cloud, where a program can go and travel to many different sources of information and create a kind of virtual service. No. Example that What Jim White [Telescript, X.400 and ASN.1 designer] is using now is a date sorting service where the agt software goes to the flower shop and orders flowers and you go to the ticket shop and get the tickets for the show, and both parties announce everything.” Early history 
This terminology is usually associated with major vdors such as IBM and DEC. Full-time shared solutions were available in the early 1970s on platforms such as Multics (on GE hardware), Cambridge CTSS, and the first UNIX ports (on DEC hardware). However, the “data cter” model in which users submit work to operators for use on IBM mainframes is more mainstream.
In the 1990s, telecommunications companies, which previously offered mostly point-to-point data circuits, began offering virtual private networks (VPNs) with the same quality of service, but at lower prices. By moving traffic as they see fit to balance server utilization, network bandwidth can be used more efficiently.
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They started using the cloud symbol to show the point of demarcation between what the provider is responsible for and what the users are responsible for. Cloud computing expands this boundary to cover all servers and network infrastructure.
As computers become more ubiquitous, scientists and technologists are exploring ways to make massive computing power available to many users through time sharing.
They experiment with algorithms to optimize infrastructure, platforms, and applications, prioritize tasks to be executed on CPUs, and increase user efficiency.
The use of the cloud metaphor for virtualized services dates back at least to Geral Magic in 1994, where it was used to describe the universe of “where” mobile agts in Telescript vironmt can go. As Andy Hertzfeld describes:
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“The beauty of Telescript,” said Andy, “is that now, instead of having a device to program, we have the wheel of the Cloud, where a program can go and travel to many different sources of information and create a kind of virtual service. .”
The use of the cloud metaphor by David Hoffman, communications staff at Geral Magic, is based on longstanding use in networking and telecom. In addition to using Geral Magic itself, it is also used to promote associated AT&T Personal Link Services.
In July 2002, Amazon created the subsidiary Amazon Web Services, with the goal of “allowing developers to create innovative and trepreurial applications themselves.” In March 2006, Amazon introduced Simple Storage Services (S3), followed by Elastic Compute Cloud (EC2) in August of the same year.
These products pioneered the use of server virtualization to deliver IaaS on a more affordable and on-demand basis.
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App gine is a PaaS (one of the first of its kind) that provides a fully maintained infrastructure and a deployable platform for users to create web applications using common languages/technologies such as Python, Node.js and PHP. The goal is to eliminate the need for some of the administrative tasks common to an IaaS model, while creating a platform where users can easily deploy these applications and scale them on demand.
Funded by the European Commission’s RESERVOIR project, became the first open-source software for private and hybrid cloud deployments, and for cloud federation.
In mid-2008, Gartner saw an opportunity for cloud computing “to shape the relationship between consumers of IT services, those who use IT services and those who sell them.”
And observed that “organizations are moving from companies that own hardware and software assets for each use model based on services” so that “the planned transition to computing … elsewhere.”
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In 2008, the United States started the National Science Foundation’s Exploratory Cluster Program to fund academic research using Google-IBM cluster technology to analyze large amounts of data.
In 2009, the French government announced the Andromeda Project to create a “sovereign cloud” or national cloud computing, and the government spd € 285 million.
In July 2010, Rackspace Hosting and NASA jointly launched an op-source cloud-software initiative known as OpStack. The OpStack project is intended to help organizations that offer cloud-computing services run on standard hardware. Early code comes from NASA’s Nebula platform and Rackspace’s Cloud Files platform. As an op-source offering and together with other op-source solutions such as CloudStack, Ganeti, and OpNebula, it has attracted attention from many leading communities. Many studies aim to compare the offers of these op sources based on a set of criteria.
Among the various fundamental elements of Smarter Computing, cloud computing is an important element. On June 7, 2012, Oracle announced Oracle Cloud.
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In May 2012, the Google Compute engine was released in preview, before being rolled out to General Availability in December 2013.
In December 2019, Amazon announced AWS Outposts, a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to nearly any customer data, co-location space. , or on-site facilities for a truly embodied hybrid experience.
The purpose of cloud computing is to allow users to take advantage of all these technologies, without the need for deep knowledge or expertise in each of them. The cloud aims to cut costs and help users focus on their core business instead of being distracted by IT obstacles.
The main enabling technology for cloud computing is virtualization. Virtualization software separates a physical computing device into one or more “virtual” devices, each of which can be easily used and managed to perform computing tasks. With virtualization at the operating system level that creates a scalable system of multiple indepdt computing devices, idle computing resources can be allocated and used more efficiently. Virtualization provides the skills needed to accelerate IT operations and reduce costs by increasing infrastructure utilization. Autonomous computing automates the user process and can provide resources on demand. By minimizing user involvement, automation speeds up the process, reduces labor costs and reduces the possibility of human error.
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Cloud computing uses concepts from utility computing to provide metrics about the services they use. Cloud computing attempts to solve the QoS (quality of service) and reliability issues of other grid computing models.
Self-service on demand. A consumer can unilaterally provide computing capacity, such as server time and network storage, as needed automatically without requiring human interaction with each service provider. Wide network access. Capabilities are networked and accessible through standard mechanisms that promote the use of heterogeneous thin or
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