Which Of The Following Is Not Cloud Service Provider – This article may be confusing or unclear to readers. In particular, it is poorly written, full of errors about this high-profile topic. Please help identify the article. The talk discusses: Cloud computing § Ungrammatical and unclear language, inconsistent space/purpose, full of misinformation. (March 2021) (Learn how and who can delete this template message)
Cloud computing metaphor: A set of network elements should not be accessed individually by users. Instead, the hardware and software managed by the bus provider can be thought of as a redundant cloud.
Which Of The Following Is Not Cloud Service Provider
Demanding computer system resources, especially data storage (cloud storage) and computing power, without direct active control by the user.
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Large cloud functions are spread over multiple locations, each of which contains data. Cloud computing relies on allocation of resources to achieve convergence and typically uses a payment model, which can help reduce capital costs but also result in unexpected operational costs for users.
Proponents of public and hybrid clouds argue that cloud computing allows companies to reduce or reduce IT infrastructure costs. Proponts cloud computing also enables enterprises to run their applications faster and faster, improve manageability and reduce maintenance, and it allows IT teams to more quickly manage resources to meet changing and unpredictable demand. allows
According to IDC, global spending on cloud computing services has reached $706 billion and is expected to reach $1.3 trillion by 2025.
Gartner estimates that global public cloud services de-user spending will reach $600 billion by 2023.
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According to a McKinsey & Company report, cloud cost optimization and business use cases will exceed $1 trillion in EBITDA among Fortune 500 companies by 2030.
According to Gartner, the shift to the cloud by 2022 risks over $1.3 trillion in IT spending to $1.8 trillion by 2025.
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The term cloud was first used to refer to distributed computing platforms in 1993, when Apple General Magic and AT&T used them to describe their (paired) Telescript and Personal Link technologies.
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In Wired’s April 1994 “Bill and Andy’s Excellency Adventure II” feature, Andy Herzfeld joined Telescript, the Geral Magic distributed programming language:
“The beauty of TeleScript … now, instead of being a device for software, we now have a cloud bus where a program can go and travel to many different data sources. Someone thought of that first. Jim White [designer of Telescript, X.400 and ASN.1] The model we use is an agenda service, where software agents go to a flower shop to order flowers, to a ticket shop. go and buy tickets for the show, and everything is delivered both ways.”  Early history 
This terminology is mostly associated with big vdors like IBM and DEC. By the early 1970s full-time sharing solutions were available on Multix (on GE hardware), Cambridge CTSS, and the earliest UNIX ports (on DEC hardware). However, the “data sitter” model, which offered jobs to operators of consumer databases, was largely dominant.
In the 1990s, telecommunications companies that had traditionally offered dedicated data networks began offering virtual private network (VPN) services with comparable quality of service, but at a lower cost. By shifting traffic to balance server usage, they can use more bandwidth.
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They started using the symbol of the cloud, what is the responsibility of the provider and what is the responsibility of the user. Cloud computing has expanded this boundary to cover all servers and network infrastructure.
As computers proliferated, programmers and technologists found ways to make large amounts of computing power available to more users through time-sharing.
They experimented with algorithms to optimize infrastructure, platforms, and applications, prioritize CPU tasks, and increase efficiency for D users.
The use of the cloud metaphor for virtualized services dates back to at least 1994 in Garrel Magic, where it was used to describe the universe of “places” that mobile agents could go in a telescript environment. As Andy Herzfeld describes:
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“The beauty of TeleScript is that now, instead of being a programming device, we now have a cloud bus where a program can go and travel to many different data sources and create a virtual service,” says Andy. can.” 
Geral Magic communications officer David Hoffman is credited with using the cloud metaphor based on its longstanding use in networking and telecommunications. In addition to using Geral Magic, it has also been used to promote AT&T-affiliated personal referral services.
In July 2002, Amazon created a subsidiary, Amazon Web Services, with the goal of “enabling developers to build innovative and scalable applications”. In March 2006, Amazon launched its Simple Storage Service (S3), followed by Elastic Compute Cloud (EC2) in August of that year.
These products used server virtualization to deliver IaaS on a more affordable and cost-effective basis.
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The application was a Gine PaaS (first of its kind) that provides users with a fully secure infrastructure and platform to build web applications using common languages/technologies like Python, Node.js and PHP. The goal was to eliminate the need for some of the administrative tasks involved in the IaaS model, while creating a platform where users could easily deploy and demand such applications.
RESERVOIR was the first open source software for private and hybrid cloud deployments and cloud federation in a project funded by the European Commission.
As of mid-2008, Gartner saw an opportunity for cloud computing to “shape the relationship between users of IT services, users of IT services, and their vendors.”
And “organizations are shifting from company-owned hardware and software assets to consumption-based service delivery models,” so “the shift in computing … will lead to dramatic increases in IT products in some areas and significant declines in others.” .”
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In 2008, the US National Science Foundation launched the Cluster Research Program to fund academic research using Google-IBM cluster technology to analyze large amounts of data.
In 2009, the French governor announced the creation of the Andromeda project, a “sovereign cloud” or national cloud computing, with the government spending 285 million euros.
In July 2010, Rackspace Hosting and NASA jointly launched an open-source cloud computing initiative called OpStack. The OpStack project wanted to help organizations that offer cloud computing services running on standard hardware. The original code came from NASA’s Nebula platform, as well as Rackspace’s Cloud Files platform. Offering op-source and other open-source solutions such as CloudStack, Gnet, and OpenBula, it has attracted the attention of several prominent communities. Several studies aim to compare these resource proposals based on a set of criteria.
Among the various components of the smart computing foundation, cloud computing is an important component. On June 7, 2012, Oracle announced Oracle Cloud.
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In May 2012, Google Compute Gain was released for preview, before being released for general availability in December 2013.
In December 2019, Amazon announced AWS Outposts, a fully managed service that facilitates AWS infrastructure, AWS services, APIs, and tools for any customer data, shared location, or indeed hybrid expertise.
The goal of cloud computing is to allow users to adapt to all these technologies without requiring in-depth knowledge or experience. The cloud helps reduce costs and allows users to focus on their core business without IT disruptions.
A key technology for cloud computing is virtualization. Virtualization software divides a physical computing device into one or more “virtual” devices, each of which can be easily accessed and run different computing tasks. By creating a scalable system of multiple computing devices using operating system-level virtualization, free computing resources can be allocated and used more efficiently. Virtualization provides the speed needed to accelerate IT operations and reduce costs by increasing infrastructure utilization. Autonomous computing automates the process through which the user can manage resources on demand. By reducing user involvement, automation speeds up processes, lowers labor costs, and reduces the potential for human error.
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Cloud computing uses utility computing concepts to provide metrics for the services used. Cloud computing tries to solve the QoS (quality of service) and reliability issues of other network computing models.
Self-service on demand. A user can provide concurrent computing capabilities, such as server time and network storage, without requiring human interaction with each service provider. Wide network access. Opportunities exist throughout the network and are leveraged through standard practices that encourage diverse thin or thick use.
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