Cloud-Based Grid Computing

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Cloud-based grid computing is normally referred to the utilization of computers in a public cloud service, or a hybrid of internally owned computers and public cloud in order to collectively accomplish large tasks, such as – derivative risk analysis, candidate drug screening and complex simulations.


Cloud and grid are new buzzwords in IT industry today, and are considered as two different and competing ideas. IT people differentiate these two terms from one another in their specific ways. Generally, grid computing uses various distributed hardware equipment to achieve common goals that need a high degree of processing and computing, such as – huge statistical research projects or the real-time collection of intricate data.


There has been a lot of debate within the industry on the advantages and disadvantages of these two types of computing. The general comprehension is that a grid computing, as a whole, can offer a high level of performance; whereas, a cloud computing or other cloud computing systems can provide more scalability that will meet growing demand of your enterprise.


A cloud-based grid computing may involve several hardware elements working together on large / volumetric projects, on a public cloud platform. A grid computing is normally used by large scale organizations and government institutions, whereas a cloud computing is preferred by medium-sized organizations.