Backflow Algorithm and Scheduling Concepts

This lesson covers the backflow algorithm and its application in creating a priority list and schedule using the critical path algorithm. It includes an example of calculating critical times for tasks, forming a priority list, and using the list processing algorithm to create a schedule. The video concludes with a discussion on the efficiency of the critical path algorithm and its limitations.

What is the main focus of the second lesson on the Backflow Algorithm?

• Exploring different types of digraphs.

• Learning the basics of the Backflow Algorithm.

• Understanding the history of scheduling algorithms.

• Creating a priority list and schedule using the Backflow Algorithm and Critical Path Algorithm.

In the Backflow Algorithm, what is the critical time for a task?

• The time it takes to complete all tasks.

• The time it takes to reach the task from the start.

• The time it takes to start the task.

• The time it takes to complete the task.

When creating a priority list, which task is listed first?

• The task with the highest number.

• The task with the largest critical time.

• The task with the shortest duration.

• The task with the smallest critical time.

What is the critical time for Task 1 in the example?

• 23 hours

• 31 hours

• 21 hours

• 15 hours

What is the role of processors in the scheduling process?

• To calculate critical times.

• To create the digraph.

• To execute tasks based on priority.

• To delay tasks.

How many processors are used in the schedule creation example?

• Four

• Three

• Two

• One

What happens when a task is marked as complete in the schedule?

• It becomes a prerequisite for other tasks.

• It is removed from the list.

• It is reassigned to another processor.

• It is marked as idle.

Which task becomes ready after Task 3 is completed?

• Task 2

• Task 4

• Task 6

• Task 5

What is a potential limitation of the Critical Path Algorithm mentioned in the lesson?

• It requires more than two processors.

• It is only applicable to small projects.

• It may not always produce the optimal schedule.

• It always creates the most efficient schedule.

What is the total time taken to complete the project in the example schedule?

• 33 hours

• 31 hours

• 29 hours

• 35 hours