An adaptive range-query optimization technique with distributed replicas

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 (an...

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Bibliographic Details
Published in:Journal of Central South University 2014, Vol.21 (1), p.190-198
Main Authors: Ahmet, Sayar, Marlon, Pierce, Geoffrey, Fox C.
Format: Article
Language:English
Subjects:
Engineering
Metallic Materials
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Summary: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.
ISSN:2095-2899
2227-5223
DOI:10.1007/s11771-014-1930-7