Difference : Cloud Computing vs Grid Computing

in Tech

Want know the difference between Cloud Computing and Grid Computing? and real world examples of Cloud and Grid Computing.

Cloud computing

Cloud computing is the use of a 3rd party service(Web Services) to perform computing needs. Here Cloud depicts Internet . With cloud computing, companies can scale up to massive capacities in an instant without having to invest in new infrastructure. Cloud computing is benefit to small and medium-sized businesses. Basically consumers use what they need on the Internet and pay only for what they use.

Cloud computing incorporates infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS) as well as Web 2.0

Cloud computing eliminates the costs and complexity of buying, configuring, and managing the hardware and software needed to build and deploy applications, these applications are delivered as a service over the Internet (the cloud).

Example:

  • Amazon Web Services (AWS) – AWS delivers a set of services that together form a reliable, scalable platform ‘in the cloud’. These pay-as-you-use cloud computing services include Amazon S3, Amazon EC2, Amazon SimpleDB, Amazon SQS, Amazon FPS, and others.
  • Salesforce.com – Delivers businesses over the internet using the software as a service model.
  • Google Apps - Software-as-a-service for business email, information sharing and security

Grid computing

Grid computing is a form of distributed computing whereby resources of many computers in a network is used at the same time, to solve a single problem. Grid systems are designed for collaborative sharing of resources. It can also be thought of as distributed and large-scale cluster computing

Grid computing is making big contributions to scientific research, helping scientists around the world to analyze and store massive amounts of data by sharing computing resources. Here are some real world examples of Grid Computing.

Grids tend to be more loosely coupled, heterogeneous, and geographically dispersed compared to conventional cluster computing systems.

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