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Priority Heuristic in Mobile Distributed Real Time Database Using Optimistic Concurrency Control

Authors: Prakash Kumar Singh; Udai Shanker;

Priority Heuristic in Mobile Distributed Real Time Database Using Optimistic Concurrency Control

Abstract

Priority scheduling among running transactions is one of the most important issues in the design of mobile distributed real-time database systems (MDRTDBS). In MDRTDBS, to perform correct transaction scheduling, several priority heuristics with different concurrency control methods are used, so that, it could minimize transaction abort rate. Priority heuristic approaches deal with problem of assigning the priorities among transactions so that it could helpful with concurrency control (CC) mechanism to achieve typical time constraint. In recent few years, the performance of CC protocols of distributed real-time database Systems (DRTDBS) have been examined using different priority heuristics methods. However, very few numbers of approaches have been proposed on priority heuristics for wireless environments. Hence, a new priority heuristic method based on deadline computed by considering write only operations has been proposed for wireless environments. It is improved priority heuristic approach which shows better results than earlier priority heuristics. In recent years, researchers have classified the transactions in two types called as Read only transactions (ROT) and Update transaction. This new priority heuristic for mobile environment considers ROT and update transactions separately. Further, a study has also been done to examine the impact of these priority heuristics as compared with number of locks and mixed method approaches.

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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Average
Top 10%
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