Maintaining data consistency in embedded databases for - download pdf or read online

By Thomas Gustafsson.

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Hence, in addition to a database addressing problem P1, a data management system is needed that addresses problem P2, and concurrency control algorithms working in conjunction with the data management system are needed to address problem P3. 3), we use the following notations in the rest of the thesis. Data items belong either to base items B or derived items D. Every data item has one transaction updating it and writing the new value to the database. In addition, every data item x has a weight, weight(x), that indicates how important the data item is in calculations.

1, interacts with the central repository module and decides if incoming transactions should be sent to the transaction manager and if additional transactions need to be triggered due to data freshness requirements. The central repository module is responsible for storing data and its meta-information. In this database system, a triggered transaction is updating a data item, and Updating and Concurrency Control Algorithms 43 is denoted a triggered update. The TU is generated by the database system by creating a new transaction instance with the same priority and timestamp as the triggering transaction.

The effects of this are that several transactions can read-lock the same data item, but only one transaction can hold a write-lock on a data item. The two-phase locking algorithm produces a conflict-serial history. The rules for the two-phase locking algorithm are [9]: 1. An incoming operation issues a lock and a test is done to see if a conflicting lock is already held by another transaction on the data item. If the data item is already locked and the new requested lock conflicts with it, then the operation is delayed until the conflicting lock is released.

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Maintaining data consistency in embedded databases for vehicular systems by Thomas Gustafsson.


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