An Efficient Modeling Approach for Real-Time Monitoring System with Metadata Hierarchy

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 216)

Abstract

Real-time data access of a monitoring system is necessary for evaluation of its capacity to interact with real environments. A novel data organization and access model (NDOAM) is presented to the real-time monitoring system based on the metadata hierarchy. This model takes advantage of real-time database in main memory, mapping to the sensor data for equipment status. The model needs to maintain only little amount of information, and front application could quickly access real-time and historical data with the metadata mapping. At the same time, the complexity of the data mapping process is quite low. Simulation results show that the model improve the performance of data access, significantly decrease the number of I/O. Compared with traditional data organization and access model (TDOAM), it shows that the model actively supports distributed environment and the open industry standards, has a good effect on the environment of a large-scale real-time data objects compared with the existed models.

Keywords

Real-time systems Monitoring Metadata mapping Sensor data collection 

References

  1. 1.
    Nogueira L, Pinho LM (2010) A capacity sharing and stealing strategy for open real-time systems. J Syst Architect 56:163–179CrossRefGoogle Scholar
  2. 2.
    Caccamo M, Buttazzo GC, Thomas DC (2005) Efficient reclaiming in reservation-based real-time systems with variable execution times. IEEE Trans Comput 54(2):198–213CrossRefGoogle Scholar
  3. 3.
    Zhao P, Li S (2010) Fast memory size estimation of application programs for system-on-chip signal-to-memory mapping. J Comput Res Dev 47(2):361–369Google Scholar
  4. 4.
    Luican II, Zhu H, Balasa F (2008) Efficient assignment algorithm for mapping multidimensional signals into the physical memory. IEEE Comput Soc 11:1409–1412. In: Proceedings of IEEE international conference on acoustics, speech and signal processing, Los AlamitosGoogle Scholar
  5. 5.
    Penaflor BG, Ferron JR, Piglowski DA, Johnson RD (2006) Current status of the upgraded DIII-D real-time digital plasma control system. Fusion Eng Des 81:1923–1926CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.School of Software EngineeringChongqing UniversityChongqingChina

Personalised recommendations