Name
Abstract | ||
|---|---|---|
How to exploit application semantics to improve the performance of a real-time data-intensive application has been an active research topic in the past few years. Weaker correctness criteria and semantics-based concurrency control algorithms were proposed to provide more flexibility in reordering read and write events. Distinct from the past work, this paper exploits the tradeoff between data consistency and system workload. The definition of similarity is combined with the idea of transaction skipping to provide a theoretical foundation for reducing the workload of a transaction system. We also propose guidelines to adjust the execution frequencies of a static set of transactions and prove their correctness. The strengths of this work were verified by simulation experiments on an air traffic control example (Peng et al., 1997). |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/REAL.1997.641277 | RTSS |
Keywords | Field | DocType |
real-time data-intensive application,similarity-based load adjustment,system workload,semantics-based concurrency control algorithm,weaker correctness criterion,transaction system,air traffic control example,application semantics,active research topic,past work,data consistency,concurrency control,air traffic control,performance,real time data,simulation experiment,resource allocation | Concurrency control,Workload,Computer science,Correctness,Real-time computing,Information engineering,Concurrent computing,Database transaction,Application software,Distributed computing,Data consistency | Conference |
ISSN | ISBN | Citations |
1052-8725 | 0-8186-8268-X | 37 |
PageRank | References | Authors |
1.58 | 16 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shao-Juen Ho | 1 | 47 | 2.80 |
| Tei-Wei Kuo | 2 | 3203 | 326.35 |
| Aloysius K. Mok | 3 | 662 | 86.52 |