From this unit, I understood that grid computing is a distributed computing system where multiple computers, called nodes, share different types of resources such as computation power, storage, communication bandwidth, software, and special equipment to work together as one system. These resources are used to execute applications, which are divided into jobs and subjobs that can run on different machines, often in parallel, to improve performance and efficiency.
I learned that a scheduler is responsible for assigning jobs to the most appropriate resources based on availability, policies, and requirements, while techniques like reservation and scavenging help manage resource usage and improve utilization. These methods help the grid system use resources efficiently and ensure that jobs are executed properly.
I also understood how grid storage systems allow data to be shared and accessed across multiple machines, and how communication networks enable data and job transfer. Finally, I learned that grids can exist within one organization, called an intragrid, or between multiple organizations, called an intergrid, which requires more coordination and security.