Chapter 10: File System
... File-open count: counter of number of times a file is open – to allow removal of data from open-file table when last processes ...
... File-open count: counter of number of times a file is open – to allow removal of data from open-file table when last processes ...
View
... Create an empty stack Determine whether the stack is empty or not Determine whether the stack is full or not Find the size of the stack (how many items are in it) PUSH a new entry onto the top of the stack providing it is not full Copy the top entry from the stack providing it is not empty POP the e ...
... Create an empty stack Determine whether the stack is empty or not Determine whether the stack is full or not Find the size of the stack (how many items are in it) PUSH a new entry onto the top of the stack providing it is not full Copy the top entry from the stack providing it is not empty POP the e ...
Top-k Ranked Document Search in General Text Databases
... This paper contains two contributions towards efficient ranked document search in general texts. (1) We implement, empirically validate and compare existing theoretical proposals for document listing search on general texts, and include a new variant of our own. (2) We propose two novel algorithms f ...
... This paper contains two contributions towards efficient ranked document search in general texts. (1) We implement, empirically validate and compare existing theoretical proposals for document listing search on general texts, and include a new variant of our own. (2) We propose two novel algorithms f ...
Binary Search Trees
... • The algorithm chooses the key in the middle of A[0:n1], which is located at A[Middle], where Middle=(0+(n-1))/2, and compares the search key K and A[Middle]. • If K==A[Middle], the search terminates successfully. • If K < A[Middle] then further search is conducted among the keys to the left of A[M ...
... • The algorithm chooses the key in the middle of A[0:n1], which is located at A[Middle], where Middle=(0+(n-1))/2, and compares the search key K and A[Middle]. • If K==A[Middle], the search terminates successfully. • If K < A[Middle] then further search is conducted among the keys to the left of A[M ...
Data Structures through C 1.1 Algorithm Specification
... The linked list is very different type of collection from an array. Using such lists, we can store collections of information limited only by the total amount of memory that the OS will allow us to use. Further more, there is no need to specify our needs in advance. The linked list is very flexible ...
... The linked list is very different type of collection from an array. Using such lists, we can store collections of information limited only by the total amount of memory that the OS will allow us to use. Further more, there is no need to specify our needs in advance. The linked list is very flexible ...
Isosurface Extraction and Spatial Filtering Using Persistent Octree (POT) Member, IEEE
... basically a query in the scalar value space and the filtering part is a query in the spatial grid space. The problem is to develop a structure that efficiently supports simultaneous queries both in the value space and in the spatial space. A straightforward approach to handle the space filtering is ...
... basically a query in the scalar value space and the filtering part is a query in the spatial grid space. The problem is to develop a structure that efficiently supports simultaneous queries both in the value space and in the spatial space. A straightforward approach to handle the space filtering is ...
Data structure - IndiaStudyChannel.com
... In computer science, a data structure is a way of storing data in a computer so that it can be used efficiently. Often a carefully chosen data structure will allow the most efficient algorithm to be used. The choice of the data structure often begins from the choice of an abstract data type. A well- ...
... In computer science, a data structure is a way of storing data in a computer so that it can be used efficiently. Often a carefully chosen data structure will allow the most efficient algorithm to be used. The choice of the data structure often begins from the choice of an abstract data type. A well- ...
Document
... – Fan-out ( B ) weight-balanced B-tree on endpoints – Intervals stored in O(B) secondary structure in each internal node – Query efficiency using filtering – Bootstrapping used to avoid O(B) search cost in each node * Size O(B2) underflow structure in each node * Constructed using sweep and persist ...
... – Fan-out ( B ) weight-balanced B-tree on endpoints – Intervals stored in O(B) secondary structure in each internal node – Query efficiency using filtering – Bootstrapping used to avoid O(B) search cost in each node * Size O(B2) underflow structure in each node * Constructed using sweep and persist ...
Venti: a new approach to archival storage Bell Labs, Lucent Technologies Abstract
... copy will be stored on the server. Similarly, a user may repeatedly vac a directory over time and even if the contents of the directory change, the additional storage consumed on the server will be related to the extent of the changes rather than the total size of the contents. Since Venti coalesces ...
... copy will be stored on the server. Similarly, a user may repeatedly vac a directory over time and even if the contents of the directory change, the additional storage consumed on the server will be related to the extent of the changes rather than the total size of the contents. Since Venti coalesces ...
2011
... As the items from a queue get deleted, the space for item is not reclaimed in queue. This problem is solved by a) circular queue b) stack c) linked list d) doubly linked list _______ no. of pointers are required to implement read and write operations in a queue a) two b) three c) four d) five ...
... As the items from a queue get deleted, the space for item is not reclaimed in queue. This problem is solved by a) circular queue b) stack c) linked list d) doubly linked list _______ no. of pointers are required to implement read and write operations in a queue a) two b) three c) four d) five ...
Maintenance of the Convex Hull of a Dynamic Set
... principle that points found inside the current convex hull will not be needed in the future and are discarded. Other algorithms that follow this principle are: Graham’s Scan, Jarvis’s March, and Quickhull [4]. Discarding a point is a problem because when a point is deleted from the convex hull, old ...
... principle that points found inside the current convex hull will not be needed in the future and are discarded. Other algorithms that follow this principle are: Graham’s Scan, Jarvis’s March, and Quickhull [4]. Discarding a point is a problem because when a point is deleted from the convex hull, old ...
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.