Performance Evaluation on a Real-Time Database

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Performance Evaluation on a Real-Time Database (2002)

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by Suhee Kim , Sang H. Son , John A. Stankovic

Venue:	IN IEEE REAL-TIME TECHNOLOGY AND APPLICATIONS SYMPOSIUM
Citations:	16 - 5 self

BibTeX

@INPROCEEDINGS{Kim02performanceevaluation,
    author = {Suhee Kim and Sang H. Son and John A. Stankovic},
    title = {Performance Evaluation on a Real-Time Database},
    booktitle = {IN IEEE REAL-TIME TECHNOLOGY AND APPLICATIONS SYMPOSIUM},
    year = {2002},
    publisher = {}
}

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Abstract

We have implemented an object-oriented real-time database system called BeeHive. Using BeeHive, the performance of two data-deadline cognizant scheduling policies, called EDDF and EDF-DC, and a baseline EDF policy all with/without admission control are evaluated through extensive experiments. We identify the ranges where data-deadline cognizant scheduling policies are effective. We also show that when admission control is used it plays a more significant role than specialized real-time data cognizant policies. Our admission control policy considers not only CPU utilizations, but also I/O requirements and utilizations. These results represent one of the few sets of experimental results found for an implemented real-time database; almost all previous results are via simulation.

Keyphrases

real-time database performance evaluation admission control specialized real-time data cognizant policy admission control policy considers data-deadline cognizant baseline edf policy object-oriented real-time database system significant role data-deadline cognizant scheduling policy cpu utilization experimental result extensive experiment previous result implemented real-time database

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