The Goal of Cloud Computing | What Cloud Computing shares

The Goal of Cloud Computing

Introduction

Cloud Computing

What's the Goal of Cloud Computing or you can say what cloud computing shares? In this article I will briefly tell you about this concept. So let's began.

What is Cloud Computing?

You probably use different cloud-based applications every day. You are benefiting from cloud solutions every time you send a file to your colleague via the web, use a mobile app, download an image, binge a Netflix show, or play an online video game. All these services are stored in the cloud and exist in some digital space.


Storing your information on OneDrive, SharePoint, or an email server is much different from keeping that data on a desktop hard drive or a USB stick. You can access it from just about any computer that has internet access.

Goal of Cloud Computing

The goal of cloud computing is to allow users to take benefit from all of these technologies, without the need for deep knowledge about or expertise with each one of them. The cloud aims to cut costs, and helps the users focus on their core business instead of being impeded 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 operating system–level virtualization essentially creating a scalable system of multiple independent computing devices, idle computing resources can be allocated and used more efficiently.

Cloud Computing

Virtualization provides the agility required to speed up IT operations, and reduces cost by increasing infrastructure utilization. Autonomic computing automates the process through which the user can provision resources on-demand. By minimizing user involvement, automation speeds up the process, reduces labor costs and reduces the possibility of human errors.

SOA Service

Users routinely face difficult business problems. Cloud computing adopts concepts from Service-oriented Architecture (SOA) that can help the user break these problems into services that can be integrated to provide a solution. Cloud computing provides all of its resources as services, and makes use of the well-established standards and best practices gained in the domain of SOA to allow global and easy access to cloud services in a standardized way.

QoS service

Cloud computing also leverages concepts from utility computing to provide metrics for the services used. Such metrics are at the core of the public cloud pay-per-use models. In addition, measured services are an essential part of the feedback loop in autonomic computing, allowing services to scale on-demand and to perform automatic failure recovery.

Cloud Computing

Cloud computing is a kind of grid computing; it has evolved by addressing the QoS (quality of service) and reliabilityproblems. Cloud computing provides the tools and technologies to build data/compute intensive parallel applications with much more affordable prices compared to traditional parallel computing techniques.

What Cloud Computing shares:-

1.Client–server model:-

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

2.Computer bureau:-

A service bureauproviding computer services, particularly from the 1960s to 1980s.

3.Grid computing:-

"A form of distributed and parallel computing, whereby a 'super and virtual computer' is composed of a clusterof networked, loosely coupled computers acting in concert to perform very large tasks."

4.Fog computing:-

Distributed computing paradigm that provides data, compute, storage and application services closer to client or near-user edge devices, such as network routers. Furthermore, fog computing handles data at the network level, on smart devices and on the end-user client side (e.g. mobile devices), instead of sending data to a remote location for processing.

5.Mainframe computer:-

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

6.Utility computing:-

The "packaging of computing resources, such as computation and storage, as a metered service similar to a traditional public utility, such as electricity."

7.Peer-to-peer:-

A distributed architecture without the need for central coordination. Participants are both suppliers and consumers of resources (in contrast to the traditional client–server model).

Cloud sandbox:-


A live, isolated computer environment in which a program, code or file can run without affecting the application in which it runs.