Roxana - Gabriela HORINCAR Refresh Strategies and Online ... - LIP6

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Motto: Colonel Manfred von Holstein: There is nothing a German officer cannot do. Captain Rumpelstoss: But... how will I learn to fly, Herr Colonel? Col. Manfred von Holstein: The way we do everything in the German army: From the book of instructions. [Reading from flight instruction manual] Col. Manfred von Holstein: Step one: sit down... [Those Magnificent Men in Their Flying Machines or How I Flew from London to Paris in 25 hours 11 minutes, 1965]
Page 1: THÈSE DE DOCTORAT DE l’UNIVERSIT
Page 7: Résumé Avec l’expansion importa
Page 10 and 11: 3.2 Crawling Web Content . . . . .
Page 13 and 14: Introduction In the last twenty yea
Page 15 and 16: and therefore, hard to manage. Howe
Page 17 and 18: fraction of recently published feed
Page 19: Part I Aggregation Model 7
Page 22 and 23: the update date of the entry and th
Page 24 and 25: define tens or hundreds of such agg
Page 26 and 27: 1.4.2 Source and Query Feeds In thi
Page 28 and 29: The query processing approach is ou
Page 30 and 31: array P rofile(n) of the same size
Page 32 and 33: (a) α = 4 - Topology and outdegree
Page 34 and 35: 2.1 Divergence We focus on the aggr
Page 36 and 37: eaches (and possibly exceeds) the s
Page 38 and 39: items with the publication frequenc
Page 40 and 41: 2.3 Window Freshness In this sectio
Page 43: Part II Refresh Strategies 31
Page 46 and 47: fetch new or updated information or
Page 48 and 49: frequency and in-place page update
Page 50 and 51: optimization method. In these works
Page 53 and 54:
Chapter 4 Best Effort Refresh Strat
Page 55 and 56:
takes its minimum when all ∆Ti sa
Page 57 and 58:
s2 published many items immediately
Page 59 and 60:
Algorithm 4.1 2Steps Best Effort Re
Page 61 and 62:
4.4 Experimental Evaluation In this
Page 63 and 64:
• Uniform refresh strategy: refre
Page 65 and 66:
strategies that refresh sources bas
Page 67:
Part III Data Dynamics and Online C
Page 70 and 71:
months period, starting in March 20
Page 72 and 73:
5.3 Online Estimation Methods Web c
Page 75 and 76:
Chapter 6 RSS Feeds Evolution Chara
Page 77 and 78:
6.2 Publication Activity From the d
Page 79 and 80:
for testing sources with a low publ
Page 81 and 82:
the two data sets and show that fee
Page 83 and 84:
Chapter 7 Online Change Estimation
Page 85 and 86:
Figure 7.1: Online estimation This
Page 87 and 88:
(a) Publication frequency (b) Diver
Page 89 and 90:
where α ∈ [0, 1] represents a sm
Page 91 and 92:
Choosing the optimal value of the s
Page 93 and 94:
(a) Peaks (b) Uniform (c) Waves Fig
Page 95 and 96:
(a) Peaks (b) Uniform (c) Waves Fig
Page 97 and 98:
variable publication model, because
Page 99 and 100:
We denote by L(λ|pubP rofile) the
Page 101 and 102:
Conclusion and Future Work As the I
Page 103 and 104:
models that reflect different types
Page 105:
optimization goal. Social medias. G
Page 109 and 110:
Appendix A Résumé de la Thèse en
Page 111 and 112:
une liste des abonnées qui peut de
Page 113 and 114:
proposons une architecture et un mo
Page 115 and 116:
List of Figures 1 RSS top ten site
Page 117 and 118:
List of Algorithms 4.1 2Steps Best
Page 119 and 120:
Bibliography [ABP10] George Adam, C
Page 121 and 122:
[dig] Digg. http://digg.com/. [EMT0
Page 123 and 124:
[O’R05] Tim O’Reilly. What Is W
Page 125 and 126:
delkader Hameurlain, Stephen W. Lid
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