What is Cloud computing?


Cloud computing may be the on-demand option of computer system assets, especially data storage and computing power, without direct active management by an individual. The term is normally used to spell it out data centers open to many users on the internet. Large clouds, predominant today, frequently have functions distributed over multiple locations from central servers. If the bond to the user is usually relatively close, it might be designated an advantage server.


Source: gpuhub


Clouds may end up being limited to an individual organization (enterprise clouds), or be accessible to numerous organizations (public cloud). Cloud computing depends on sharing of assets to accomplish coherence and economies of scale.


Advocates of public and hybrid clouds remember that cloud computing allows companies in order to avoid or minimize up-front IT infrastructure costs. Proponents also declare that cloud computing allows enterprises to obtain applications ready to go faster, with improved manageability and less maintenance, and that it enables IT teams to quicker adjust assets to meet up fluctuating and unpredictable demand, providing the burst computing capability: high computing power at certain periods of peak demand.


Cloud providers typically use a "pay-as-you-go" model, that may result in unexpected operating expenses if administrators aren't familiarized with cloud-pricing models.


The option of high-capacity networks, low-cost computers and storage devices along with the widespread adoption of hardware virtualization, service-oriented architecture and autonomic and utility computing has resulted in growth in cloud computing. By 2019, Linux was the hottest operating-system, including in Microsoft's offerings and is thus referred to as dominant. The Cloud COMPANY (CSP) will screen, continue and gather data about the firewalls, intrusion identification or/and counteractive action frameworks and information stream in the network


Similar concepts


The purpose of cloud computing is to permit users to take reap the benefits of most of these technologies, with no need for deep understanding of or expertise with every one of them. The cloud aims to spend less, and helps the users concentrate on their core business rather than being impeded because of it obstacles. The primary enabling technology for cloud computing is virtualization. Virtualization software separates a physical computing device into a number of "virtual" devices, each which can be very easily used and were able to perform computing tasks. With operating-system-level virtualization essentially creating a scalable system of multiple independent computing devices, idle computing resources could be allocated and used better. Virtualization supplies the agility needed to increase IT operations and reduces cost by increasing infrastructure utilization. Autonomic computing automates the procedure through which an individual can provision assets on-demand. By reducing user involvement, automation boosts the procedure, reduces labor costs and reduces the chance of human errors.


Cloud computing uses concepts from utility computing to supply metrics for the services used. Cloud computing attempts to handle QoS (quality of service) and reliability problems of other grid computing models.


Cloud computing shares characteristics with:


  • Client-server model-Client-server computing refers broadly to any distributed application that distinguishes between providers (servers) and service requestors (clients).

  • Computer bureau-A service bureau providing computer services, particularly from the 1960s to 1980s.

  • Grid computing-A type of distributed and parallel computing, whereby a 'super and virtual computer' comprises a cluster of networked, loosely coupled computers acting in concert to execute very large tasks.

  • Fog computing-Distributed computing paradigm that delivers data, compute, storage and application services nearer to client or near-user edge devices, such as for example network routers. Furthermore, fog computing handles data at the network level, on smart devices and on the end-user client side (e.g. cellular devices), rather than sending data to a remote location for processing.

  • Mainframe computer-Powerful computers mainly used by large organizations for critical applications, typically bulk data processing such as for example: census; industry and consumer statistics; police and secret intelligence services; enterprise resource planning; and financial transaction processing.

  • Utility computing-The "packaging of computing resources, such as for example computation and storage, as a metered service similar to a normal public utility, such as for example electricity."

  • Peer-to-peer-A distributed architecture with no need for central coordination. Participants are both suppliers and consumers of resources (as opposed to the original client-server model).

  • Green computing

  • Cloud sandbox-A live, isolated computer environment when a program, code or file can run without affecting the application form where it runs.


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