Maui cluster scheduler is like a teacher who decides how to divide the classwork among students in a big classroom. Imagine you and your classmates have to finish a project together, but you all have different skills and work at different speeds. The teacher needs to make sure everyone has a fair share of the work and gets it done on time.
Similarly, in a computer cluster, there are many machines that work together to do complicated tasks. The maui cluster scheduler is like the teacher that decides which machines will do which parts of the task, based on their abilities and availability.
It makes sure that each machine has an equal amount of work, so none of them get overworked or underutilized. The maui cluster scheduler takes into account things like the speed of the machines, their processing power, and the type of work that needs to be done.
Just like a teacher may give some students easier or harder tasks depending on their abilities, the maui cluster scheduler may assign different levels of work to different machines. This way, each machine can contribute in a meaningful way, and the task can be completed efficiently and on time.
In summary, the maui cluster scheduler is like a teacher that assigns tasks to different machines in a computer cluster, making sure they are evenly distributed and appropriate for each machine's abilities.