20.4 - Scheduling Jobs
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
Define lateness in the context of job scheduling.
💡 Hint: Think about the relationship between job completion time and its deadline.
What is the goal of the greedy algorithm in job scheduling?
💡 Hint: Consider what 'greedy' implies about choices made.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main goal of the 'Minimizing Lateness' problem?
💡 Hint: Reflect on what lateness means in this context.
True or False: The shortest job first strategy always results in the optimal schedule.
💡 Hint: Consider when shorter jobs have later deadlines.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Imagine five jobs with the following durations and deadlines: Job A (2 units, deadline 4), Job B (4 units, deadline 10), Job C (1 unit, deadline 3), Job D (2 units, deadline 2), Job E (5 units, deadline 15). Determine the optimal order of execution and calculate the maximum lateness.
💡 Hint: Look at the deadlines and durations to form the best order.
Propose a real-world scenario involving job scheduling. Describe how you would apply the concepts discussed in this section to optimize outcomes in that scenario.
💡 Hint: Think about deadlines and how you would prioritize tasks.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.