Bis Tut 4 Flashcards

1
Q

Communication Internet TCP/IP reference model

A
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2
Q

Flooding

A
  1. Zu allen Nachbarn exklusive dem von dem bekommen
  2. zu allen Nachbarn, aber mit sequence number -> nicht 2x versendet
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3
Q

Distance vector routing (DVR)

A
  1. Distanzvektoren von A - E eintragen
    • delay den günstigsten samt Link
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4
Q

Distance vector routing (DVR)

count-to-infinity problem

A

The more routers participate, the longer convergence takes Bandwidth is used during convergence

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5
Q

bandwidth per (full-duplex) cable is used up by distance vector routing

A
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6
Q

Link-State routing

A
  • “hello”-packets are sent regularly to document the router’s aliveness
  • Send “echo”-packet to X to measure delay to neighbor X
  1. Nachbarn mit Kosten
  2. network is flooded with these Link-State packets (hier für A) - Immer zeitgleich
  3. Dijkstra - nur positive Kantengewichte, alle Nachbarn kostenaufsteigend besuchen und andere Nachbarn in Warteschlage
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7
Q

Slow Start & Flow Control

A

datagrams are being sent “slowly” in the beginning in order to achieve an equlibrium without overloading or overburdening the network

  • one MSS will be sent
  • Every acknowledged burst of data will double the cWnd
  • Threshold
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8
Q

Hamming distance

A

unterschiedlicher Stellen

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9
Q

Knuth Morris Pratt KMP

A

Left to right

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10
Q

Boyer-Moore with occurrence heuristic (oh)

A

Right to left

  1. rightmost position of c in w
    1. die wo gleich = 0
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11
Q

Boyer-Moore with match heuristic (mh)

A
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12
Q

Boyer-Moore with combined heuristic (ch)

A

except for the “0” entries

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13
Q

Tries (from „retrieval“)

A

retrieval of words by character based

comparissons
Example: {wer, weiß, wo, wir, sind}

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14
Q

PATRICIA Tree

A

nodes with only one descendant are eliminated (ggf. Infoverlust)

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15
Q

Sistring (semi-infinite string)

A
  • substring of characters
  • don’t necessarily contain the whole remaining string, but has to be distinguishable
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16
Q

PAT-Tree

A
17
Q

Efficient Search Structures

A
18
Q

Editing distance (also known as Levenshtein distance)

A

to transform s[1…i] into t[1…j]

19
Q

Dijkstra

A

kürzester Abstand zur Wurzel als nächstes