Providing persistence for sensor data streams by remote WAL

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationData Warehousing and Knowledge Discovery - 8th International Conference, DaWaK 2006, Proceedings
PublisherSpringer Verlag
Pages524-533
Number of pages10
ISBN (Print)3540377360, 9783540377368
DOIs
Publication statusPublished - 2006
Event8th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2006 - Krakow, Poland
Duration: 2006 Sep 42006 Sep 8

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4081 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kawashima, H., Imai, M., & Anzai, Y. (2006). Providing persistence for sensor data streams by remote WAL. In Data Warehousing and Knowledge Discovery - 8th International Conference, DaWaK 2006, Proceedings (pp. 524-533). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4081 LNCS). Springer Verlag. https://doi.org/10.1007/11823728_50