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Difference between Cloud Computing and Distributed Computing

Cloud Computing

Cloud computing is the delivery of on-demand computing resources, such as server, storage, database, networking, software, analytics, and more, over the internet. Cloud computing provides a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort. It is a cost-effective way to access and use IT resources, with users only paying for the resources they use. Characteristics of cloud computing include on-demand self-service, pay-per-use pricing, resource pooling, scalability, and elasticity. Cloud computing is generally classified into four types: public cloud, private cloud, community cloud, and hybrid cloud.

Public Cloud

Public cloud services are provided over the internet and are available to anyone who wishes to use them. These services are owned and managed by a cloud service provider, such as Amazon Web Services (AWS) or Microsoft Azure. With public cloud services, users can access and use computing resources, such as storage and computing power, without purchasing or managing the underlying hardware.

Private Cloud

Private cloud services are cloud services that are dedicated to a single organization. These services are hosted and managed within the organization’s data center or through a third-party provider. Private cloud services provide organizations with the flexibility to customize their cloud environment according to their specific needs.

Community Cloud

Community cloud services are shared by multiple organizations and are hosted on a cloud service provider’s infrastructure. The organizations share the costs and benefits of using the cloud services. These services are especially beneficial to organizations with similar needs, such as those in the same industry.

Hybrid Cloud

Hybrid cloud is a combination of public and private cloud services. It allows organizations to use public cloud services for their high-performance computing needs and private cloud services for their mission-critical workloads. With a hybrid cloud, organizations can access a larger pool of computing resources and take advantage of the cost savings associated with public cloud services.

Distributed Computing

Distributed computing is a computing technique that uses multiple computers to solve a single problem. Distributed computing allows multiple computers to communicate and work together to solve a single problem, resulting in faster computation than using a single computer. Characteristics of distributed computing include distributing a single task among computers, Remote Procedure Calls (RPCs) and Remote Method Invocation (RMI) for distributed computations. Distributed computing is classified into three types: distributed computing systems, distributed information systems, and distributed pervasive systems.

Distributed Computing Systems

Distributed computing systems involve the use of multiple computers to solve a single problem. These systems are designed to work together to solve complex tasks in a shorter amount of time than a single computer could. They typically use a client-server architecture and rely on distributed algorithms to divide a task into multiple, smaller tasks that can be processed in parallel.

Distributed Information Systems

Distributed information systems are designed to provide access to data and services that are spread across multiple computers. These systems are often used to provide access to large amounts of data or to provide services across multiple geographically dispersed locations.

Distributed Pervasive Systems

Distributed pervasive systems are distributed computing systems that are embedded into everyday objects. These systems are designed to be unobtrusive and are often used in applications such as home automation and Internet of Things (IoT).

Difference

Cloud Computing:

1. Cloud computing is based on the concept of remote computing, which means the user can access the applications and data they need over the internet.

2. Cloud computing is typically used for more complex applications and data storage.

3. It is typically used by businesses, as it is more expensive.

4. It is easier to scale up or down and add or remove resources.

5. It is generally easier to deploy and manage.

6. Cloud computing is typically used for more complex tasks such as analytics, data storage, and machine learning.

Distributed Computing:

1. Distributed computing is based on the concept of decentralized computing, which means each computer in the network is used to run the applications and data.

2. Distributed computing is typically used for simpler applications and data storage.

3. It is typically used by individuals and small businesses, as it is cheaper.

4. It is more difficult to scale up or down and add or remove resources.

5. It is generally harder to deploy and manage.

  1. Distributed computing is typically used for simpler tasks such as file sharing, data backup, and web hosting.

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