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An adaptive range-query optimization technique with distributed replicas
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作者 sayar ahmet Pierce Marlon Fox C.Geoffrey 《Journal of Central South University》 SCIE EI CAS 2014年第1期190-198,共9页
Replication is an approach often used to speed up the execution of queries submitted to a large dataset.A compile-time/run-time approach is presented for minimizing the response time of 2-dimensional range when a dist... Replication is an approach often used to speed up the execution of queries submitted to a large dataset.A compile-time/run-time approach is presented for minimizing the response time of 2-dimensional range when a distributed replica of a dataset exists.The aim is to partition the query payload(and its range) into subsets and distribute those to the replica nodes in a way that minimizes a client's response time.However,since query size and distribution characteristics of data(data dense/sparse regions) in varying ranges are not known a priori,performing efficient load balancing and parallel processing over the unpredictable workload is difficult.A technique based on the creation and manipulation of dynamic spatial indexes for query payload estimation in distributed queries was proposed.The effectiveness of this technique was demonstrated on queries for analysis of archived earthquake-generated seismic data records. 展开更多
关键词 查询优化技术 分布式查询 副本 自适应 大数据集 响应时间 负载平衡 地震数据
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