Management Information System (MIS) Practice Exam

Which technology is primarily utilized to solve large-scale computing problems?

1. Distributed computing.

2. Grid computing.

3. Edge computing.

4. IP convergence.

The correct answer is: Grid computing.

The selection of grid computing as the correct answer for solving large-scale computing problems highlights its key features that make it particularly effective for this purpose. Grid computing involves a network of interconnected computers that work collaboratively to complete complex tasks by sharing resources such as processing power, storage, and data. This approach leverages the combined capabilities of multiple systems to manage large datasets and execute high-demand processing jobs that would be impossible or cost-prohibitive for a single machine. Grid computing is particularly advantageous in scenarios requiring significant computational power, such as scientific research, financial modeling, and complex simulations. By utilizing resources spread across various locations, it can achieve scalability and flexibility, adapting to varying workloads efficiently. While distributed computing also addresses large-scale problems by distributing tasks across multiple machines, it typically focuses on ensuring that programs run concurrently rather than maximizing the utility of a vast pool of shared resources as grid computing does. Edge computing, on the other hand, focuses on processing data closer to where it is generated to reduce latency and improve real-time processing but is more suited for specific applications rather than large-scale problem-solving. IP convergence pertains to the integration of voice, video, and data networks and is not directly linked to the computational resources required for large-scale computing tasks. Hence,