Suppose we have a group of proposed talks with preset start and end times. Students of CSE340 were asked to design an algorithm to schedule as many of these talks as possible in a lecture hall, under the assumptions that once a talk starts, it continues until it ends, no two talks can proceed at the same time, and a talk can begin at the same time another one ends. Assume that talk j begins at time sj (where s stands for start) and ends at time ej (where e stands for end). One student proposed the algorithm shown in Algorithm 1 on the next page, which simply adds talks in order of earliest start time (smallest sj ). (a) Prove, using a counter example, that the proposed algorithm does not always produce an optimal schedule (i.e., a schedule with most possible talks). (b) Another student proposed adding talks in order of shortest duration (ej - sj ). Prove, using a counter example, that even with this new criteria, the algorithm does not always produce an optimal schedule.

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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 Suppose we have a group of proposed talks with preset start and end times. Students of CSE340 were asked to design an algorithm to schedule as many of these talks as possible in a lecture hall, under the assumptions that once a talk starts, it continues until it ends, no two talks can proceed at the same time, and a talk can begin at the same time another one ends. Assume that talk j begins at time sj (where s stands for start) and ends at time ej (where e stands for end). One student proposed the algorithm shown in Algorithm 1 on the next page, which simply adds talks in order of earliest start time (smallest sj ). (a) Prove, using a counter example, that the proposed algorithm does not always produce an optimal schedule (i.e., a schedule with most possible talks). (b) Another student proposed adding talks in order of shortest duration (ej - sj ). Prove, using a counter example, that even with this new criteria, the algorithm does not always produce an optimal schedule.

Algorithm 1: Task Scheduling Algorithm
Input: n talks, each with a starting times and end time e
1 begin
2
3
4
5
6
7
Sort talks by start time and reorder so that s1 ≤ $2 ≤ ... ≤ Sn
R← Q
for j = 1 to n do
if talk j is compatible with R then
RRU talk j
return R
Transcribed Image Text:Algorithm 1: Task Scheduling Algorithm Input: n talks, each with a starting times and end time e 1 begin 2 3 4 5 6 7 Sort talks by start time and reorder so that s1 ≤ $2 ≤ ... ≤ Sn R← Q for j = 1 to n do if talk j is compatible with R then RRU talk j return R
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