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Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel...

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Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant
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Page 1: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

Chapter 8: Scheduling“Science is organized knowledge. Wisdom is organized

life.”

-Immanuel Kant

Page 2: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

Example 8.1.1: Preparing for Launch

Immediately preceding the launch of a satellite into space, last-minute system checks need to be performed by the on-board computers, and it is important to complete these system checks as quickly as possible – for both cost and safety reasons. Suppose that there are five system checks required: A(6), B(5), C(7), D(2), and E(5), with the numbers in parentheses representing the hours it takes one computer to perform that system check. In addition, there are precedence relations: D cannot be started until both A and B have been finished, and E cannot be started until C has been finished.

Suppose there are two identical computer processors, P1 and P2, that will carry out the individual system checks. Create a schedule for the two processors.

Page 3: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

Example 8.1.2: Building a Dream Home on Mars

It is the year 2050 and several human colonies have already been established on Mars. Imagine that you accept a job offer to work in one of these colonies. Like everyone else on Mars, you will be provided with a living pod called a Martian Habitat Unit (MHU). The assembly of an MHU consists of 15 separate tasks, and there are 17 different precedence relations among these tasks that must be followed. The tasks, their respective processing times, and their precedent tasks are all shown in the table.

How can we get your MHU built as quickly as possible?

How many robots should you rent to do the job?

How do we create a suitable work schedule that will get the job done?

Page 4: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

Section 8.2: Directed Graphs (Digraphs)

Graphs in which the edges have a direction associated with them

Page 5: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

Example 8.2.1: Digraphs

Refer to the Digraph drawn.

List all the arcs in the digraph.

Is B incident to D?

Is B incident from D?

What arcs are adjacent?

List a cycle in this digraph.

What is the outdegree of A?

What is the indegree of A?

Page 6: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

Example 8.2.2: Examples of digraphs

Traffic – some streets are one-way, some are two-way

Telephones – phone calls

Tournaments

Dream House on Mars (draw a digraph)

Page 7: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

Section 8.3: Scheduling with

Priority Lists

Page 8: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

Example 8.3.1: Preparing for Launch

Immediately preceding the launch of a satellite into space, last-minute system checks need to be performed by the on-board computers, and it is important to complete these system checks as quickly as possible – for both cost and safety reasons. Suppose that there are five system checks required: A(6), B(5), C(7), D(2), and E(5), with the numbers in parentheses representing the hours it takes one computer to perform that system check. In addition, there are precedence relations: D cannot be started until both A and B have been finished, and E cannot be started until C has been finished.

Suppose there are two identical computer processors, P1 and P2, that will carry out the individual system checks. Create a schedule for the two processors. Let’s pretend the priority list is in alphabetical order.

What if we try it with the priority list in reverse alphabetical order?

What if we add a third computer?

Page 9: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

The Priority-List Model

Three different scenarios to consider:All processors are busy. (The only thing we can do is

wait.)One processor is free. (Give it the first ready task in

the priority list.)More than one processor is free. (Give each

processor ready tasks in order by priority.)

The key of this model: keep track of which tasks are ready, in execution, completed and ineligible.

Page 10: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

Example 8.3.2: Dream Home on Mars

Use the priority list AD(8), AW(6), AF(5), IF(5), AP(7), IW(7), ID(5), IP(4), PL(4), PU(3), HU(4), IC(1), PD(3), EU(2), FW(6) where the numbers in the parentheses represent the number of hours it takes one robot to complete the task.

Circle ready tasks.

Put a single slash through tasks in execution.

Put an X through completed tasks.

Don’t mark ineligible tasks.

Page 11: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

But how do we find the optimal priority list?

Coming next…

Page 12: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

Section 8.4: The Decreasing-Time

AlgorithmFinding a good priority list

Page 13: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

Example 8.4.1: Dream Home on Mars (yes, again)

Use the decreasing-time priority list

AD(8), AP(7), IW(7), AW(6), FW(6), AF(5), IF(5), ID(5), IP(4), PL(4), HU(4), PU(3), PD(3), EU(2), IC(1)

Find the schedule.

Not very good – Why?

Page 14: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

Section 8.5: Critical Paths

Page 15: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

Critical Paths and Critical Times

For a given vertex X, the critical path is the path from X to END with the longest processing time.The processing time of a path is the sum of the

processing times of all the vertices in the path.

When we add the processing times of all the tasks along the critical path for X, we get the critical time for X.The critical time for END is 0.

The path with the longest processing time from START to END is called the critical path for the project, and the total processing time for this critical path is the critical time for the project.

Page 16: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

Example 8.5.1: Still Building That Dream Home on Mars

Let’s look at the vertex HU. There are 3 paths from HU to END: HU, IC, FW, END has processing time 4+1+6=11 HU, PD, END has processing time 4+3=7 HU, EU, END has processing time 4+2=6

Which one is the critical path?

Answer: HU, IC, FW, END (because it has the longest processing time)

Now, find the critical path for the vertex AD.

Now, find the critical path for the project.

Page 17: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

Finding Critical Paths

Backflow Algorithm:1. Find the critical time for every vertex of the project

digraph. This is done by starting at END and working backward toward START according to the following rule:

The critical time for a task X equals the processing time of X plus the largest critical time among the vertices incident from X.

2. Critical paths are found by following the path along largest critical times. In other words, the critical path for any vertex X is obtained by starting at X and moving to the adjacent vertex with largest critical time, and from there to the adjacent vertex with largest critical time, and so on.

Page 18: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

Example 8.5.2: That Dream Home on Mars

Find the critical path.

Page 19: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

Section 8.6: The Critical Path Algorithm

Page 20: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

Critical-Path Algorithm

1. Find critical times – Using the backflow algorithm, find the critical time for every task in the project.

2. Create priority list – Using the critical times obtained in Step 1, create a priority list with the tasks listed in decreasing order of critical times.

3. Create schedule – Using the critical-time priority list obtained in Step 2, create the schedule.

Page 21: Chapter 8: Scheduling “Science is organized knowledge. Wisdom is organized life.” -Immanuel Kant.

Example 8.6.1: That Dream Home on Mars

Schedule the MHU project with 2 processors.


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