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Figure 3.8 shows the result of the scheduling algorithm when the gain para-
meter is set to 0.01. The resulting performance value is equal to 9.61116.
Note that the resource constraints are enforced for all the resources (athletes
and machines). In fact, the activities of athlete “A1” do not overlap one
another. The same is true for athlete “A2”. Similarly, activities of the same
Figure 3.8
The time plan after the execution of the scheduling process.
Copyright ©
2005 Sun Microsystems, Inc. All rights reserved. Reproduced by permission of Sun Microsystems, Inc.
Figure 3.9
The time plan after the revision of the algorithm's gain.
Copyright © 2005 Sun
Microsystems, Inc. All rights reserved. Reproduced by permission of Sun Microsystems, Inc.
