Search results
Results from the WOW.Com Content Network
Comparison [ edit ] Some researchers have made a functional and experimental analysis of several distributed file systems including HDFS, Ceph, Gluster, Lustre and old (1.6.x) version of MooseFS, although this document is from 2013 and a lot of information are outdated (e.g. MooseFS had no HA for Metadata Server at that time).
DFS: Acorn Computers Ltd: 1982 Acorn BBC Micro MOS: ADFS: Acorn Computers Ltd: 1983 Acorn Electron (later Arthur/RISC OS) FFS: Kirk McKusick: 1983 4.2BSD: FAT16: IBM, Microsoft: 1984 PC DOS 3.0, MS-DOS 3.0: MFS: Apple: 1984 System 1: Elektronika BK tape format NPO "Scientific centre" (now Sitronics) 1985 Vilnius Basic, BK monitor program HFS ...
The referenced BFS is only used for correctness verification of results. Thus, users should implement their own BFS algorithm based on their hardware. The choice of BFS is not constrained, as long as the output BFS tree is correct. The correctness of result is based on the comparison with result from referenced BFS.
But what Russell and Norvig do is generalize the "true DFS", rather than BFS, so their BFS is "DFS with a queue instead of a stack" rather than the other way around. So the current statement of the difference in the article is confusing for AIMA readers, since it presumes a particular version of BFS. QVVERTYVS 20:10, 10 May 2015 (UTC)
Breadth-first search (BFS) is an algorithm for searching a tree data structure for a node that satisfies a given property. It starts at the tree root and explores all nodes at the present depth prior to moving on to the nodes at the next depth level.
BFS will always find the path that has the fewest number of nodes which just happens to be the shortest path if all weights are the same. You certainly can modify BFS to use a priority queue instead of a normal queue so that it then really finds a shortest path. But then DFS is the same as BFS just with a stack instead of a queue.
Distributed fault-tolerant replication of data between nodes (between servers or servers/clients) for high availability and offline (disconnected) operation. Coda from Carnegie Mellon University focuses on bandwidth-adaptive operation (including disconnected operation) using a client-side cache for mobile computing. It is a descendant of AFS-2.
A depth-first search (DFS) is an algorithm for traversing a finite graph. DFS visits the child vertices before visiting the sibling vertices; that is, it traverses the depth of any particular path before exploring its breadth. A stack (often the program's call stack via recursion) is generally used when implementing the algorithm.