Sandhya Dasu
... Information contd.. • For a node whose children are not leaf nodes, the lcount is the sum of the lcount and rcount fields of its left child and rcount… • Functions on the bitmap can be performed on a top-down traversal of the tree • Each of the internal nodes does not contain pointers to lchild and ...
... Information contd.. • For a node whose children are not leaf nodes, the lcount is the sum of the lcount and rcount fields of its left child and rcount… • Functions on the bitmap can be performed on a top-down traversal of the tree • Each of the internal nodes does not contain pointers to lchild and ...
L15_FS - Web Services Overview
... Allocate space from beginning and link together segments of the file ...
... Allocate space from beginning and link together segments of the file ...
A Substrate for In-Network Sensor Data Integration
... query optimization. The goal of this paper is to devise a substrate that allows the establishment of join paths while considering congestion (delay), power and battery life (packets forwarded). This is a key component in the Aspen project, aiming to develop an optimized query processing architectur ...
... query optimization. The goal of this paper is to devise a substrate that allows the establishment of join paths while considering congestion (delay), power and battery life (packets forwarded). This is a key component in the Aspen project, aiming to develop an optimized query processing architectur ...
Amortization, Lazy Evaluation, and Persistence: Lists
... “item” — the result of the computation — you first reserve the item by delaying the computation. You then make regular payments by discharging the associated debits, and are eligible to receive the item only when it is completely paid for. (However, even after it is completely paid for, you do not n ...
... “item” — the result of the computation — you first reserve the item by delaying the computation. You then make regular payments by discharging the associated debits, and are eligible to receive the item only when it is completely paid for. (However, even after it is completely paid for, you do not n ...
Database Indexes
... A secondary index provides a secondary means of accessing a file for which some primary access already exists. The secondary index may be on a field which is a candidate key and has a unique value in every record, or a nonkey with duplicate values. The index is an ordered file with two fields. The ...
... A secondary index provides a secondary means of accessing a file for which some primary access already exists. The secondary index may be on a field which is a candidate key and has a unique value in every record, or a nonkey with duplicate values. The index is an ordered file with two fields. The ...
Cache-Oblivious B-Trees
... The algorithms in our paper only need a constant number of memory blocks in the cache at once, so any semiintelligent block-replacement strategy will suf£ce for our purposes. In general, however, the least-recently-used (LRU) block-replacement strategy can be used to approximate the omniscient strat ...
... The algorithms in our paper only need a constant number of memory blocks in the cache at once, so any semiintelligent block-replacement strategy will suf£ce for our purposes. In general, however, the least-recently-used (LRU) block-replacement strategy can be used to approximate the omniscient strat ...
Heap Construction - University of South Carolina
... Initialize the essentially complete binary tree with the given order of the n keys • Starting from the last parental node downto the first parental node, check whether H [i ] max H [2i ], H [2i 1] • If not, swap parental and child keys to satisfy this requirement Note that when checking a cert ...
... Initialize the essentially complete binary tree with the given order of the n keys • Starting from the last parental node downto the first parental node, check whether H [i ] max H [2i ], H [2i 1] • If not, swap parental and child keys to satisfy this requirement Note that when checking a cert ...
Lecture 3: Index Representation and Tolerant Retrieval Overview IR
... Search is slightly slower than in hashes: O(logM), where M is the size of the vocabulary. O(logM) only holds for balanced trees. Rebalancing binary trees is expensive. B-trees mitigate the rebalancing problem. B-tree definition: every internal node has a number of children in the interval [a, b] whe ...
... Search is slightly slower than in hashes: O(logM), where M is the size of the vocabulary. O(logM) only holds for balanced trees. Rebalancing binary trees is expensive. B-trees mitigate the rebalancing problem. B-tree definition: every internal node has a number of children in the interval [a, b] whe ...
File Systems
... • Copy the file descriptors into the in memory data structure, if it is not in yet • Create an entry in the open file table (system wide) if there isn’t ...
... • Copy the file descriptors into the in memory data structure, if it is not in yet • Create an entry in the open file table (system wide) if there isn’t ...
Index Tuning
... balanced B+-tree as records are inserted – Off-line: inserted/deleted records are inserted in a specific data structure and indexes are modified offline (when the DBA requests it, regularly or when some condition is met). • Log-Structured Merge (LSM)-tree: Records inserted in RAM (C0-tree not necess ...
... balanced B+-tree as records are inserted – Off-line: inserted/deleted records are inserted in a specific data structure and indexes are modified offline (when the DBA requests it, regularly or when some condition is met). • Log-Structured Merge (LSM)-tree: Records inserted in RAM (C0-tree not necess ...
DISJOINT SETS AND UNION/FIND ALGORITHM
... (Examples and pseudocode for smart union algorithm & path compression taken from Data Structures and Algorithms in C – Mark Allen Weiss & Introduction to Algorithms - Thomas H.Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein) The unions in the basic tree data structure representatio ...
... (Examples and pseudocode for smart union algorithm & path compression taken from Data Structures and Algorithms in C – Mark Allen Weiss & Introduction to Algorithms - Thomas H.Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein) The unions in the basic tree data structure representatio ...
B-tree
In computer science, a B-tree is a tree data structure that keeps data sorted and allows searches, sequential access, insertions, and deletions in logarithmic time. The B-tree is a generalization of a binary search tree in that a node can have more than two children (Comer 1979, p. 123). Unlike self-balancing binary search trees, the B-tree is optimized for systems that read and write large blocks of data. B-trees are a good example of a data structure for external memory. It is commonly used in databases and filesystems.