Originally, the word computing was synonymous with counting and calculating, and the science and technology of mathematical calculations. Today, "computing" means using computers and other computing machines. It includes their operation and usage, the electrical processes carried out withi...
Scientific Computing Articles - Page 1 of 5. A list of Scientific Computing articles with clear crisp and to the point explanation with examples to understand the concept in simple and easy steps.
A list of Fog Computing articles with clear crisp and to the point explanation with examples to understand the concept in simple and easy steps.
Cloud Computing Articles - Page 1 of 84. A list of Cloud Computing articles with clear crisp and to the point explanation with examples to understand the concept in simple and easy steps.
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Aug 2023 SNDVI: a new scalable serverless framework to compute NDVI Lucas Iacono David Pacios Jose Luis Vázquez-Poletti Frontiers in High Performance Computing doi 10.3389/fhpcp.2023.1151530
Authors ; E. Wes Bethel, San Francisco State University, San Francisco, CA, USA ; Mercy G. Amankwah, Case Western Reserve University, Cleveland, OH, USA ; Jan Balewski, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Table of Content ; What is Serverless Computing? · Components of Serverless Computing · Advantages Serverless Computing · Disadvantages of Serverless Computing · Comparison to Other Backend Services · Use Cases and Applications of Serverless Computing · Some real-life examples of Serverless Computing: Conclusion
Why is Grid Computing Important? ; Scalability: It allows organizations to scale their computational resources dynamically. As workloads increase, additional machines can be added to the grid, ensuring efficient processing. ; Resource Utilization: By pooling resources from multiple computers, grid computing maximizes resource utilization. Idle or underutilized machines contribute to tasks, reducing wastage. ; Complex Problem Solving: Grids handle large-scale problems that require significant computational power. Examples include climate modeling, drug discovery, and genome analysis. ; Collaboration: Grids facilitate collaboration across geographical boundaries. Researchers, scientists, and engineers can work together on shared projects.