dc.contributor.author | Lagogiannis, G | en |
dc.contributor.author | Lorentzos, N | en |
dc.date.accessioned | 2014-06-06T06:51:57Z | |
dc.date.available | 2014-06-06T06:51:57Z | |
dc.date.issued | 2012 | en |
dc.identifier.issn | 00457906 | en |
dc.identifier.uri | http://dx.doi.org/10.1016/j.compeleceng.2011.12.009 | en |
dc.identifier.uri | http://62.217.125.90/xmlui/handle/123456789/5788 | |
dc.subject.other | Asymptotically optimal | en |
dc.subject.other | B trees | en |
dc.subject.other | Constant time | en |
dc.subject.other | General approach | en |
dc.subject.other | General method | en |
dc.subject.other | I/O-complexity | en |
dc.subject.other | Secondary memories | en |
dc.subject.other | Specific problems | en |
dc.subject.other | Data structures | en |
dc.subject.other | Forestry | en |
dc.subject.other | Algorithms | en |
dc.subject.other | Data Bases | en |
dc.subject.other | Forestry | en |
dc.subject.other | Problem Solving | en |
dc.title | Partially persistent B-trees with constant worst-case update time | en |
heal.type | journalArticle | en |
heal.identifier.primary | 10.1016/j.compeleceng.2011.12.009 | en |
heal.publicationDate | 2012 | en |
heal.abstract | We present two solutions for achieving a partially persistent B-tree with a worst case constant update time, in the case that the position of the update is given. The motivation for this work came from the observation that a known, general approach, which reduces the update cost of partially persistent data structures to a constant, has an inherent weakness concerning partially persistent B-trees, because it creates big nodes that cannot be retrieved from secondary memory in a constant time. Due to this, the I/O complexity of the resulting partially persistent B-tree is affected. Thus, we attack this specific problem, i.e. we do not develop a general approach for all partially persistent data structures. For our objectives, we add partial persistence to an ephemeral B-tree with constant worst case update time, by applying two known general methods, the fat-node and the node-copying method, that transform an ephemeral data structure into a partially persistent. The solution based on node-copying is asymptotically optimal. © 2011 Elsevier Ltd. All rights reserved. | en |
heal.journalName | Computers and Electrical Engineering | en |
dc.identifier.issue | 2 | en |
dc.identifier.volume | 38 | en |
dc.identifier.doi | 10.1016/j.compeleceng.2011.12.009 | en |
dc.identifier.spage | 231 | en |
dc.identifier.epage | 242 | en |
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