LocationSpark: In-memory Distributed Spatial Query Processing and Optimization
نویسندگان
چکیده
منابع مشابه
In-memory Distributed Spatial Query Processing and Optimization
Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial query processing. In this paper, we present new techniques for spatial query processing and optimization in an in-memory and distributed setup to address scalability. More specifically, we introduce new techniques for ...
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Query processing is an important concern in the field of distributed databases. The main problem is: if a query can be decomposed into subqueries that require operations at geographically separated databases, determine the sequence and the sites for performing this set of operations such that the operating cost (communication cost and processing cost) for processing this query is minimized. The...
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ژورنال
عنوان ژورنال: Frontiers in Big Data
سال: 2020
ISSN: 2624-909X
DOI: 10.3389/fdata.2020.00030