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A Partition Checkpoint Strategy Based on Data Segment Priority

A Partition Checkpoint Strategy Based on Data Segment Priority
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摘要 A partition checkpoint strategy based on data segment priority is presented to meet the timing constraints of the data and the transaction in embedded real-time main memory database systems（ERTMMDBS） as well as to reduce the number of the transactions missing their deadlines and the recovery time.The partition checkpoint strategy takes into account the characteristics of the data and the transactions associated with it;moreover,it partitions the database according to the data segment priority and sets the corresponding checkpoint frequency to each partition for independent checkpoint operation.The simulation results show that the partition checkpoint strategy decreases the ratio of trans-actions missing their deadlines. A partition checkpoint strategy based on data segment priority is presented to meet the timing constraints of the data and the transaction in embedded real-time main memory database systems（ERTMMDBS） as well as to reduce the number of the transactions missing their deadlines and the recovery time.The partition checkpoint strategy takes into account the characteristics of the data and the transactions associated with it;moreover,it partitions the database according to the data segment priority and sets the corresponding checkpoint frequency to each partition for independent checkpoint operation.The simulation results show that the partition checkpoint strategy decreases the ratio of trans-actions missing their deadlines.
作者 LIANG Ping LIU Yunsheng
机构地区 School of Computer Science and Technology
出处 《Wuhan University Journal of Natural Sciences》 CAS 2012年第2期109-113,共5页 武汉大学学报（自然科学英文版）
基金 Supported by the National Natural Science Foundation of China (60673128)
关键词 embedded real-time main memory database systems database recovery partition checkpoint data segment priority embedded real-time main memory database systems database recovery partition checkpoint data segment priority
分类号 TP311.13 [自动化与计算机技术—计算机软件与理论]
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参考文献10

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共引文献13

Wuhan University Journal of Natural Sciences
2012年 第2期

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