Grid computing is an enabling technology for the development of several applications in various fields, such as science, business, health, and entertainment. According to a 2021 report by Wipro, cloud leaders expect to see an increase in the use of grid computing as a complementary technology to drive 29% of cloud ROI.
As industries continue to optimize their IT infrastructure to better realize the true potential of networking, networking infrastructure will evolve to keep pace with the pace of change and provide stable platforms.
Life science is one of the fastest growing areas of application for grid computing. Various life science disciplines, such as computational biology, bioinformatics, genomics, neuroscience, and others, have rapidly embraced grid technologies. Practitioners can access, collect, and efficiently analyze relevant data. The network also allows medical personnel to perform large-scale modeling and analysis and connect remote tools to existing medical infrastructure.
For example, the MCell project investigates cellular microphysiology using sophisticated Monte Carlo diffusion and chemical reaction algorithms to model and study molecular interactions inside and outside cells. Grid technology has enabled large-scale deployment of various MCell modules, as MCell now runs on a large pool of resources, including clusters and supercomputers, to perform biochemical modeling.