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Multiclass Query Scheduling in Real-Time Database Systems
August 1995 (vol. 7 no. 4)
pp. 533-551
ASCII Text
x 
 
HweeHwa Pang, Michael J. Carey, Miron Livny, "Multiclass Query Scheduling in Real-Time Database Systems," IEEE Transactions on Knowledge and Data Engineering, vol. 7, no. 4, pp. 533-551, August, 1995.
 
 
BibTex
x
 
@article{ 10.1109/69.404028,
author = {HweeHwa Pang and Michael J. Carey and Miron Livny},
title = {Multiclass Query Scheduling in Real-Time Database Systems},
journal ={IEEE Transactions on Knowledge and Data Engineering},
volume = {7},
number = {4},
issn = {1041-4347},
year = {1995},
pages = {533-551},
doi = {http://doi.ieeecomputersociety.org/10.1109/69.404028},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Knowledge and Data Engineering
TI - Multiclass Query Scheduling in Real-Time Database Systems
IS - 4
SN - 1041-4347
SP533
EP551
EPD - 533-551
A1 - HweeHwa Pang,
A1 - Michael J. Carey,
A1 - Miron Livny,
PY - 1995
KW - Query processing
KW - real-time database systems
KW - memory management
KW - priority scheduling.
VL - 7
JA - IEEE Transactions on Knowledge and Data Engineering
ER -
 

Abstract—In recent years, a demand for real-time systems that can manipulate large amounts of shared data has led to the emergence of real-time database systems (RTDBS) as a research area. This paper focuses on the problem of scheduling queries in RTDBSs. We introduce and evaluate a new algorithm called Priority Adaptation Query Resource Scheduling (PAQRS) for handling both single class and multiclass query workloads. The performance objective of the algorithm is to minimize the number of missed deadlines, while at the same time ensuring that any deadline misses are scattered across the different classes according to an administratively-defined miss distribution. This objective is achieved by dynamically adapting the system’s admission, memory allocation, and priority assignment policies according to its current resource configuration and workload characteristics. A series of experiments confirms that PAQRS is very effective for real-time query scheduling.

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Index Terms:
Query processing, real-time database systems, memory management, priority scheduling.
Citation:
HweeHwa Pang, Michael J. Carey, Miron Livny, "Multiclass Query Scheduling in Real-Time Database Systems," IEEE Transactions on Knowledge and Data Engineering, vol. 7, no. 4, pp. 533-551, Aug. 1995, doi:10.1109/69.404028
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