Effective Shedding and Efficient Processing of Massive Sensor Update Loads

Projektdetaljer

Beskrivelse

Emerging application areas of computing technologies exist that involve the monitoring of continuous variables. One such area concerns transportation. Such monitoring yields massive update loads that existing systems are unable to contend with. The Sensload project proposes a two-pronged approach to enabling the support of such application areas. It explores techniques for selective shedding of updates and it will develop data structures and algorithms that increase the numbers of updates per time unit that database systems are able to accommodate.
StatusAfsluttet
Effektiv start/slut dato01/08/200831/07/2011

Finansiering

  • Forskningsrådet for Teknologi og Produktion

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  • Publikation

    • 3 Konferenceartikel i proceeding
    • 1 Konferenceartikel i tidsskrift

    A comparison of the use of virtual versus physical snapshots for supporting update-intensive workloads

    Sidlauskas, D., Jensen, C. S. & Saltenis, S., 2012, Proceedings of the Eighth International Workshop on Data Management on New Hardware, DaMoN 2012. Association for Computing Machinery, s. 1-8 8 s.

    Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

  • 4 Citationer (Scopus)

    Parallel main-memory indexing for moving-object query and update workloads

    Sidlauskas, D., Saltenis, S. & Jensen, C. S., 2012, Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2012. Association for Computing Machinery, s. 37-48 10 s.

    Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

  • 40 Citationer (Scopus)

    Thread-Level Parallel Indexing of Update Intensive Moving-Object Workloads

    Sidlauskas, D., Ross, K. A., Jensen, C. S. & Saltenis, S., 2011, I : Lecture Notes in Computer Science. 6849, s. 186-204 19 s.

    Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

  • 22 Citationer (Scopus)