An experimental analysis of event set algorithms for discrete event simulation
| dc.contributor.author | Nikolopoulos, Stavros D. | en |
| dc.contributor.author | MacLeod, Roderick | en |
| dc.date.accessioned | 2015-11-24T17:00:36Z | |
| dc.date.available | 2015-11-24T17:00:36Z | |
| dc.identifier.issn | 0165-6074 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/10789 | |
| dc.rights | Default Licence | - |
| dc.subject | Discrete simulation | en |
| dc.subject | event set algorithms | en |
| dc.subject | time flow mechanisms | en |
| dc.subject | data structures | en |
| dc.title | An experimental analysis of event set algorithms for discrete event simulation | en |
| heal.abstract | A number of event set algorithms for discrete event simulation have been selected, analysed and tested under a wide variety of conditions to estimate their average performance. A set of typical stochastic scheduling distributions has been especially chosen to show the advantages and limitations of each algorithm. The event set algorithms have been divided into four classes: (I) Linear algorithms, (II) Binary Tree algorithms: Contiguous representation, (III) Binary Tree algorithms: Linked representation and (IV) Time Mapping algorithms. Experimental analysis has been done supported by plot diagrams showing the performance of each algorithm. Tables of comparisons are also presented. | en |
| heal.access | campus | - |
| heal.fullTextAvailability | TRUE | - |
| heal.identifier.primary | 10.1016/0165-6074(93)90248-j | - |
| heal.journalName | Microprocessing and Microprogramming | en |
| heal.journalType | peer reviewed | - |
| heal.language | en | - |
| heal.publicationDate | 1993 | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικής | el |
| heal.type | journalArticle | - |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.type.en | Journal article | en |
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