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Algorithm SkipInsert(k, v): Input: Key k and value v Output: Topmost position of the entry inserted in the skip list p = SkipSearch(k) q = null i = −1 repeat i=i+1 {position in bottom list with largest key less than k} {current node of new entry's tower} {current height of new entry's tower} {increase height of new entry's tower}

Algorithm SkipInsert(k, v): Input: Key k and value v Output: Topmost position of the entry inserted in the skip list p = SkipSearch(k) q = null i = −1 repeat i=i+1 {position in bottom list with largest key less than k} {current node of new entry's tower} {current height of new entry's tower} {increase height of new entry's tower}

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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implement insertAfterAbove for this Pseudocode below in java

Algorithm SkipInsert(k, v): Input: Key k and value v Output: Topmost position of the entry inserted in the skip list p = SkipSearch(k) q = null i = −1 repeat i=i+1 if i ≥h then h = h +1 {position in bottom list with largest key less than k} {current node of new entry's tower} {current height of new entry's tower} {increase height of new entry's tower} {add a new level to the skip list} {grow leftmost tower} {grow rightmost tower} {add node to new entry's tower} t = next(s) s insert AfterAbove(null, s, (-∞, null)) insert AfterAbove(s, t, (+∞, null)) q= insertAfterAbove(p, q, (k, v)) while above(p) == null do p = prev(p) p = above(p) until coinFlip() == tails n = n +1 return q {scan backward} {jump up to higher level} {top node of new entry's tower} Code Fragment 10.15: Insertion in a skip list of entry (k, v) We assume the skip list does not have an entry with key k. Method coinFlip() returns "heads" or "tails", each with probability 1/2. Instance variables n, h, and s respectively hold the number of entries, the height, and the start node of the skip list.
Transcribed Image Text:Algorithm SkipInsert(k, v): Input: Key k and value v Output: Topmost position of the entry inserted in the skip list p = SkipSearch(k) q = null i = −1 repeat i=i+1 if i ≥h then h = h +1 {position in bottom list with largest key less than k} {current node of new entry's tower} {current height of new entry's tower} {increase height of new entry's tower} {add a new level to the skip list} {grow leftmost tower} {grow rightmost tower} {add node to new entry's tower} t = next(s) s insert AfterAbove(null, s, (-∞, null)) insert AfterAbove(s, t, (+∞, null)) q= insertAfterAbove(p, q, (k, v)) while above(p) == null do p = prev(p) p = above(p) until coinFlip() == tails n = n +1 return q {scan backward} {jump up to higher level} {top node of new entry's tower} Code Fragment 10.15: Insertion in a skip list of entry (k, v) We assume the skip list does not have an entry with key k. Method coinFlip() returns "heads" or "tails", each with probability 1/2. Instance variables n, h, and s respectively hold the number of entries, the height, and the start node of the skip list.
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