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ハヤシバラ ナオヒロ
HAYASHIBARA NAOHIRO
林原 尚浩 所属 京都産業大学 情報理工学部 情報理工学科 職種 教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2017 |
| 形態種別 | 研究論文（国際会議プロシーディングス） |
| 査読 | 査読あり |
| 標題 | Merging Topic Groups of a Publish/Subscribe System in Causal Order |
| 執筆形態 | その他 |
| 掲載誌名 | 2017 31ST IEEE INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (IEEE WAINA 2017) |
| 出版社・発行元 | IEEE |
| 巻・号・頁 | pp.172-177 |
| 著者・共著者 | Yuta Yamamoto,Naohiro Hayashibara |
| 概要 | Message ordering is one of the essential problems in distributed systems and applications. In spite of the importance, most of publish/subscribe systems do not guarantee the ordering of messages and events because of its cost which may give an impact on the overall performance. When we suppose dynamic systems, such as peer-to-peer systems, the implementation of the message ordering would be pretty difficult and costly. In this paper, we propose an efficient algorithm to merge separated topic groups with preserving causal order in publish/subscribe systems on unstructured peer-to-peer systems. We also evaluate the proposed algorithm in terms of the cost for merging in our experiments. |
| DOI | 10.1109/WAINA.2017.96 |
| DBLP ID | conf/aina/YamamotoH17 |
| PermalinkURL | http://dblp.uni-trier.de/db/conf/aina/ainaw2017.html#conf/aina/YamamotoH17 |