Providing persistence for sensor data streams by remote WAL

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

Rapidly changing environments such as robots, sensor networks, or medical services are emerging. To deal with them, DBMS should persist sensor data streams instantaneously. To achieve the purpose, data persisting process must be accelerated. Though write ahead logging (WAL) acceleration is essential for the purpose, only a few researches are conducted. To accelerate data persisting process, this paper proposes remote WAL with asynchronous checkpointing technique. Furthermore this paper designs and implements it. To evaluate the technique, this paper conducts experiments on an object relational DBMS called KRAFT. The result of experiments shows that remote WAL overwhelms performance disk based WAL. As for throughput evaluation, best policy shows about 12 times better performance compared with disk based WAL. As for logging time, the policy shows lower than 1000 micro seconds which is the period of motor data acquisition on conventional robots.

本文言語English
ホスト出版物のタイトルData Warehousing and Knowledge Discovery - 8th International Conference, DaWaK 2006, Proceedings
出版社Springer Verlag
ページ524-533
ページ数10
ISBN(印刷版)3540377360, 9783540377368
DOI
出版ステータスPublished - 2006
イベント8th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2006 - Krakow, Poland
継続期間: 2006 9 42006 9 8

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4081 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other8th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2006
国/地域Poland
CityKrakow
Period06/9/406/9/8

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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