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Applications and challenges for dynamic data management: complex events and data streams

Applications and challenges for dynamic data management: complex events and data streams

Daniela Nicklas

生駒 : 奈良先端科学技術大学院大学, 2013.4

Lecture Archive

Volume No.

Total: 1
No. Printing year Location Call Number Material ID Circulation class Status Waiting

1

  • LA-I-R[MPDASH][Mobile]

M010912

Contents Intro.

With the upcoming widespread availability of sensors, more and more applications depend on physical phenomena. Up-to-date real world information is embedded into business processes, in production environments, or in mobile applications, so that such context-aware applications can adapt their behavior to the current situation of their user or environment. Another example are so-called SCADA systems (supervisory control and data acquisition), where complex installations (e.g., energy grids or power plants) are monitored and controlled. In general, data can be managed either by a database management system (DBMS), or directly by the application. The first approach has many advantages: information demands can be declared by queries and kept separately from the application. When the information demand changes, only the query has to be changed (which dramatically decreases software maintenance costs). In addition, a DBMS can optimize the query execution, so that the requested data is retrieved efficiently from the

Details

Publication year

2013

Form

電子化映像資料(1時間30分00秒)

Series title

情報科学研究科・ゼミナール講演 ; 平成25年度

Note

講演者所属: Carl von Ossietzky University Oldenburg

講演日: 平成25年4月24日

講演場所: 情報科学研究科大講義室L1

Country of publication

Japan

Title language

English (eng)

Language of texts

English (eng)

Author information

Nicklas, Daniela