Similarity-based load adjustment for real-time data-intensive applications

被引：27

作者：

Ho, SJ ^{[1
]}

Kuo, TW ^{[1
]}

Mok, AK ^{[1
]}

机构：

[1] Natl Chung Cheng Univ, Dept Comp Sci & Informat Engn, Chiayi, Taiwan

来源：

18TH IEEE REAL-TIME SYSTEMS SYMPOSIUM, PROCEEDINGS | 1997年

关键词：

D O I：

10.1109/REAL.1997.641277

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

How to exploit application semantics to improve the performance of a real-time data-indensive 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 [4, 7, 8, 9, 16, 17, 20]. Distinct from the past work, this paper exploits the tradeoff between data consistency and system workload. The definition of similarity [8] 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 [8].

引用

页码：144 / 153

页数：10