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  • 标题:A Method for Fast Leaderboard Calculations in Massive Online Game-Based Environments
  • 本地全文:下载
  • 作者:Julian Moreno Cadavid ; Hernán Darío Vanegas Madrigal
  • 期刊名称:International Journal of Computer Games Technology
  • 印刷版ISSN:1687-7047
  • 电子版ISSN:1687-7055
  • 出版年度:2018
  • 卷号:2018
  • DOI:10.1155/2018/3234873
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Leaderboards and other game elements are present in many online environments, not just in videogames. When such environments have relatively few users, the implementation of those leaderboards is not usually a problem; however, that is no longer the case when they have dozens of thousands or more. For those situations we propose a method that is easy and cheap to implement. It is based on two particular data structures, a Self-Balanced Ordering Statistic Tree and a hash table, to perform proper leaderboard calculations in a fast and cheap way. More specifically, our proposal has time complexity, whereas other approaches also based on in-memory data structures like linked lists have , and others based on Hard Disk Drive operations like a relational database have . Such improvement with regard to the other approaches is corroborated with experimental results for several scenarios, also presented in this paper.
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