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Difference between Cloud Computing and Cluster Computing

Cloud Computing

Cloud Computing is a revolutionary technology that enables the on-demand delivery of computing resources including servers, storage, databases, networking, software, analytics, and more over the internet. It is based on the idea of virtualized pool of resources that can be accessed from anywhere at any time with pay-per-use pricing. Cloud computing provides users with the ability to create, configure, and customize applications online. Its advantages include increased scalability, flexibility, improved performance, cost savings, and greater security.

Cluster Computing

Cluster Computing is a high-performance computing framework that enables distributed systems to solve complex problems more quickly and efficiently. A cluster is made up of multiple computers connected on a network and working together to perform a single task. It allows for faster processing speed and better data integrity, while providing scalability and reliability. Cluster Computing can be used in a variety of applications including scientific research, financial modeling, and data analytics.

Difference

Cloud Computing:

1. Cloud computing is a type of computing that relies on sharing computing resources, instead of having local servers or personal devices to handle applications.

2. Cloud computing services are provided over the internet, and users access them via web-based tools or applications.

3. Cloud computing is cost-effective and provides users with access to a wide range of applications and services.

4. It is more flexible than cluster computing as it is highly scalable and can be customized according to the user’s requirements.

5. Cloud computing allows users to access their data from any location and any device with an internet connection.

Cluster Computing:

1. Cluster computing is a type of distributed computing that uses multiple computers to handle large workloads.

2. It is designed to make efficient use of computer resources by taking advantage of the computing power of many machines.

3. It is mainly used for scientific and engineering applications where a single computer would not be able to process the data in a timely manner.

4. Cluster computing is less flexible than cloud computing as it is not as scalable and does not offer the same level of customization.

5. Cluster computing requires the user to be physically present in order to access the data and applications.

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