powerpoint presentationaada/courses/15251f15/www/slides/lec17.pdfski rental ≥8. 1. 𝐺𝐌= t⋅...

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CMU 15-251 Online Algorithms Teachers: Anil Ada Ariel Procaccia (this time)

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CMU 15-251

Online Algorithms

Teachers:

Anil Ada

Ariel Procaccia (this time)

Ski rental

•

𝐵

•

• 𝐵 = 5

2

Ski rental

•

•

• 𝐵

3

⇒ 10

⇒ 4

Ski rental

𝐵 ≥ 8.𝐵

1. 𝐎𝐿𝐺 𝐌 = 2 ⋅ 𝑂𝑃𝑇 𝐌

2. 𝐎𝐿𝐺 𝐌 = 3 ⋅ 𝑂𝑃𝑇(𝐌)

3. 𝐎𝐿𝐺 𝐌 =𝐵

2⋅ 𝑂𝑃𝑇(𝐌)

4. 𝐎𝐿𝐺 𝐌 = 𝐵 ⋅ 𝑂𝑃𝑇(𝐌)

4

Competitive ratio

• c > 1 𝐎𝐿𝐺𝑐 𝐌𝐎𝐿𝐺 𝐌 ≀ 𝑐 ⋅ 𝑂𝑃𝑇(𝐌)

• 𝑐 < 1 𝐎𝐿𝐺𝑐 𝐌𝐎𝐿𝐺 𝐌 ≥ 𝑐 ⋅ 𝑂𝑃𝑇(𝐌)

•

𝐎𝐿𝐺 𝑂𝑃𝑇(𝐌)

5

Ski rental, revisited

•

• 𝐵 − 12𝐵−1

𝐵

•

6

Ski rental, revisited

•

𝛌 𝛌 <2𝐵−1

𝐵

•

o 𝐟𝐟 + 1

o 𝐟 + 2

o 𝐟 ≥ 𝐵:𝑂𝑃𝑇 𝐌 = 𝐵, 𝐎𝐿𝐺 𝐌 = 𝐟 + 𝐵 ≥ 2𝐵

o 𝐟 ≀ 𝐵 − 2: 𝑂𝑃𝑇 𝐌 = 𝐟 + 1,𝐎𝐿𝐺 𝐌 = 𝐟 + 𝐵 ≥ 2𝐟 + 2 ∎

7

Pancakes, revisited

8

≈

𝐵2𝐵−1

𝐵

Ski rental, revisited

9

Paging

• 𝑁 𝑘

•

•

•

•

10

Paging

11

Paging

12

Paging

•

1,
 , 𝑘)

•

•

•

•

13

Example: LIFO

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Paging

• 𝛌𝛌

1. 𝛌 = 2

2. 𝛌 = 𝑘

3. 𝛌 = 𝑁

4. 𝛌 = ∞

15

Paging

• 𝛌𝛌

1. 𝛌 = 2

2. 𝛌 = 𝑘

3. 𝛌 = 𝑁

4. 𝛌 = ∞

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Paging

• 𝑘

•

o

𝑘

o 𝑘 = 3:

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Paging

• 𝑘

•

o 𝑚 = 𝑝𝑗𝑖 𝑗

𝑖

o 𝑝1𝑖 , 
 , 𝑝𝑘

𝑖 , 𝑝1𝑖+1

o 𝑝2𝑖 , 
 , 𝑝𝑘

𝑖

𝑝1𝑖+1

⇒𝑂𝑃𝑇 ≥ 𝑚

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Paging

• 𝑘

•

o

o 𝐎𝐿𝐺 ≀ 𝑘𝑚 ∎

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Paging

• 𝑘

• ∎

•𝛌 𝛌 < 𝑘

20

Paging

•

o

{1, 
 , 𝑘 + 1} ⇒

21

Paging

•

o 𝑘∎

22

List update

• 𝑛

•

•

23

List update

•

•

•

•

24

List update

• 𝛌𝛌

25

Summary

•

o

o

•

o

•

o

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