Many-task computing is like being the boss of a big group of helpers. Imagine you are having a big party and you need to clean up the house, make food, decorate, and take care of many other things. You realize that you cannot do everything by yourself, so you ask your friends to help you.
Now, your friends are good at different things. Some are great at cleaning, some are great at cooking, and some are great at decorating. You tell each of them what they need to do and when they need to do it. This way, everyone can work on their task at the same time and finish everything much faster than if you were doing it alone.
This is what many-task computing is like. It's when you have one big job that needs to be done, but it's broken down into many smaller tasks that can be done by different people or computers. Each task is different and needs to be done in a certain order, but they can all be done at the same time.
For example, imagine you are a scientist who needs to study a lot of data. You have a lot of computers that can help you, but they are all different and can only do certain things. So, you break the task down into many smaller tasks, and you assign each task to the computer that is best at doing it. This way, each computer can work on its task at the same time, and you can finish studying the data much faster.
Many-task computing is like having a big puzzle that needs to be solved, but instead of doing it all by yourself, you break it down into smaller puzzles and ask your friends or computers to help you.